Overview

Brought to you by YData

Dataset statistics

Number of variables	51
Number of observations	84
Missing cells	1728
Missing cells (%)	40.3%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	33.6 KiB
Average record size in memory	409.6 B

Variable types

Numeric	22
Categorical	20
Boolean	4
Unsupported	5

Alerts

`Process (PMF) - Prototyping Used` has constant value "True"	Constant
`Tech (TF) - Web Development` has constant value "Web"	Constant
`Tech (TF) - DBMS Used` has constant value "True"	Constant
`- CASE Tool Used` is highly overall correlated with `External (EEF) - Industry Sector` and 6 other fields	High correlation
`External (EEF) - Data Quality Rating` is highly overall correlated with `External (EEF) - Organisation Type` and 17 other fields	High correlation
`External (EEF) - Industry Sector` is highly overall correlated with `- CASE Tool Used` and 17 other fields	High correlation
`External (EEF) - Organisation Type` is highly overall correlated with `External (EEF) - Data Quality Rating` and 31 other fields	High correlation
`People (PRF) - BA team experience 1 to 3 yr` is highly overall correlated with `External (EEF) - Organisation Type` and 10 other fields	High correlation
`People (PRF) - BA team experience <1 yr` is highly overall correlated with `People (PRF) - IT experience <3 yr` and 5 other fields	High correlation
`People (PRF) - BA team experience >3 yr` is highly overall correlated with `External (EEF) - Organisation Type` and 7 other fields	High correlation
`People (PRF) - IT experience 3 to 9 yr` is highly overall correlated with `External (EEF) - Data Quality Rating` and 11 other fields	High correlation
`People (PRF) - IT experience <3 yr` is highly overall correlated with `People (PRF) - BA team experience <1 yr` and 5 other fields	High correlation
`People (PRF) - IT experience >9 yr` is highly overall correlated with `External (EEF) - Organisation Type` and 10 other fields	High correlation
`People (PRF) - Personnel changes` is highly overall correlated with `External (EEF) - Organisation Type` and 16 other fields	High correlation
`People (PRF) - Project manage changes` is highly overall correlated with `External (EEF) - Organisation Type` and 11 other fields	High correlation
`People (PRF) - Project manage experience` is highly overall correlated with `External (EEF) - Industry Sector` and 10 other fields	High correlation
`Process (PMF) - Development Methodologies` is highly overall correlated with `External (EEF) - Data Quality Rating` and 23 other fields	High correlation
`Process (PMF) - Docs` is highly overall correlated with `External (EEF) - Data Quality Rating` and 14 other fields	High correlation
`Project (PRF) - Application Group` is highly overall correlated with `External (EEF) - Industry Sector` and 7 other fields	High correlation
`Project (PRF) - Application Type` is highly overall correlated with `External (EEF) - Data Quality Rating` and 31 other fields	High correlation
`Project (PRF) - Cost currency` is highly overall correlated with `External (EEF) - Data Quality Rating` and 27 other fields	High correlation
`Project (PRF) - Currency multiple` is highly overall correlated with `- CASE Tool Used` and 22 other fields	High correlation
`Project (PRF) - Defect Density` is highly overall correlated with `External (EEF) - Organisation Type` and 6 other fields	High correlation
`Project (PRF) - Development Type` is highly overall correlated with `External (EEF) - Industry Sector` and 11 other fields	High correlation
`Project (PRF) - Functional Size` is highly overall correlated with `External (EEF) - Data Quality Rating` and 15 other fields	High correlation
`Project (PRF) - Manpower Delivery Rate` is highly overall correlated with `External (EEF) - Data Quality Rating` and 12 other fields	High correlation
`Project (PRF) - Max Team Size` is highly overall correlated with `External (EEF) - Data Quality Rating` and 19 other fields	High correlation
`Project (PRF) - Normalised Level 1 PDR (ufp)` is highly overall correlated with `Project (PRF) - Max Team Size` and 7 other fields	High correlation
`Project (PRF) - Normalised PDR (ufp)` is highly overall correlated with `Project (PRF) - Max Team Size` and 7 other fields	High correlation
`Project (PRF) - Normalised Work Effort` is highly overall correlated with `External (EEF) - Data Quality Rating` and 15 other fields	High correlation
`Project (PRF) - Normalised Work Effort Level 1` is highly overall correlated with `External (EEF) - Organisation Type` and 16 other fields	High correlation
`Project (PRF) - Project Elapsed Time` is highly overall correlated with `External (EEF) - Industry Sector` and 16 other fields	High correlation
`Project (PRF) - Relative Size` is highly overall correlated with `External (EEF) - Data Quality Rating` and 17 other fields	High correlation
`Project (PRF) - Speed of Delivery` is highly overall correlated with `External (EEF) - Data Quality Rating` and 12 other fields	High correlation
`Project (PRF) - Team Size Group` is highly overall correlated with `External (EEF) - Data Quality Rating` and 27 other fields	High correlation
`Project (PRF) - Total project cost` is highly overall correlated with `- CASE Tool Used` and 27 other fields	High correlation
`Project (PRF) - Year of Project` is highly overall correlated with `- CASE Tool Used` and 18 other fields	High correlation
`Tech (TF) - Architecture` is highly overall correlated with `External (EEF) - Industry Sector` and 11 other fields	High correlation
`Tech (TF) - Client Roles` is highly overall correlated with `External (EEF) - Data Quality Rating` and 30 other fields	High correlation
`Tech (TF) - Client Server?` is highly overall correlated with `External (EEF) - Data Quality Rating` and 10 other fields	High correlation
`Tech (TF) - Development Platform` is highly overall correlated with `- CASE Tool Used` and 15 other fields	High correlation
`Tech (TF) - Language Type` is highly overall correlated with `External (EEF) - Industry Sector` and 15 other fields	High correlation
`Tech (TF) - Primary Programming Language` is highly overall correlated with `External (EEF) - Organisation Type` and 11 other fields	High correlation
`Tech (TF) - Server Roles` is highly overall correlated with `- CASE Tool Used` and 26 other fields	High correlation
`Tech (TF) - Tools Used` is highly overall correlated with `- CASE Tool Used` and 17 other fields	High correlation
`Project (PRF) - Application Group` is highly imbalanced (78.2%)	Imbalance
`Process (PMF) - Development Methodologies` is highly imbalanced (59.8%)	Imbalance
`People (PRF) - Project manage changes` is highly imbalanced (53.4%)	Imbalance
`External (EEF) - Industry Sector` has 1 (1.2%) missing values	Missing
`Project (PRF) - Application Group` has 5 (6.0%) missing values	Missing
`Tech (TF) - Development Platform` has 15 (17.9%) missing values	Missing
`Project (PRF) - Functional Size` has 1 (1.2%) missing values	Missing
`Project (PRF) - Relative Size` has 1 (1.2%) missing values	Missing
`Project (PRF) - Normalised Level 1 PDR (ufp)` has 1 (1.2%) missing values	Missing
`Project (PRF) - Normalised PDR (ufp)` has 1 (1.2%) missing values	Missing
`Project (PRF) - Defect Density` has 53 (63.1%) missing values	Missing
`Project (PRF) - Speed of Delivery` has 3 (3.6%) missing values	Missing
`Project (PRF) - Manpower Delivery Rate` has 28 (33.3%) missing values	Missing
`Project (PRF) - Project Elapsed Time` has 2 (2.4%) missing values	Missing
`Project (PRF) - Team Size Group` has 25 (29.8%) missing values	Missing
`Project (PRF) - Max Team Size` has 25 (29.8%) missing values	Missing
`- CASE Tool Used` has 68 (81.0%) missing values	Missing
`Process (PMF) - Development Methodologies` has 4 (4.8%) missing values	Missing
`Process (PMF) - Prototyping Used` has 79 (94.0%) missing values	Missing
`Tech (TF) - Architecture` has 15 (17.9%) missing values	Missing
`Tech (TF) - Client Server?` has 52 (61.9%) missing values	Missing
`Tech (TF) - Client Roles` has 58 (69.0%) missing values	Missing
`Tech (TF) - Server Roles` has 57 (67.9%) missing values	Missing
`Tech (TF) - Type of Server` has 84 (100.0%) missing values	Missing
`Tech (TF) - Web Development` has 50 (59.5%) missing values	Missing
`Tech (TF) - DBMS Used` has 27 (32.1%) missing values	Missing
`People (PRF) - Project user involvement` has 84 (100.0%) missing values	Missing
`People (PRF) - BA team experience <1 yr` has 69 (82.1%) missing values	Missing
`People (PRF) - BA team experience 1 to 3 yr` has 66 (78.6%) missing values	Missing
`People (PRF) - BA team experience >3 yr` has 67 (79.8%) missing values	Missing
`People (PRF) - IT experience <1 yr` has 84 (100.0%) missing values	Missing
`People (PRF) - IT experience 1 to 3 yr` has 84 (100.0%) missing values	Missing
`People (PRF) - IT experience >3 yr` has 84 (100.0%) missing values	Missing
`People (PRF) - IT experience <3 yr` has 61 (72.6%) missing values	Missing
`People (PRF) - IT experience 3 to 9 yr` has 63 (75.0%) missing values	Missing
`People (PRF) - IT experience >9 yr` has 67 (79.8%) missing values	Missing
`People (PRF) - Project manage experience` has 65 (77.4%) missing values	Missing
`People (PRF) - Project manage changes` has 52 (61.9%) missing values	Missing
`People (PRF) - Personnel changes` has 52 (61.9%) missing values	Missing
`Project (PRF) - Total project cost` has 55 (65.5%) missing values	Missing
`Project (PRF) - Cost currency` has 54 (64.3%) missing values	Missing
`Project (PRF) - Currency multiple` has 66 (78.6%) missing values	Missing
`Tech (TF) - Type of Server` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`People (PRF) - Project user involvement` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`People (PRF) - IT experience <1 yr` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`People (PRF) - IT experience 1 to 3 yr` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`People (PRF) - IT experience >3 yr` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Project (PRF) - Defect Density` has 18 (21.4%) zeros	Zeros
`Tech (TF) - Tools Used` has 28 (33.3%) zeros	Zeros
`People (PRF) - BA team experience <1 yr` has 7 (8.3%) zeros	Zeros
`People (PRF) - BA team experience 1 to 3 yr` has 6 (7.1%) zeros	Zeros
`People (PRF) - BA team experience >3 yr` has 3 (3.6%) zeros	Zeros
`People (PRF) - IT experience <3 yr` has 6 (7.1%) zeros	Zeros
`People (PRF) - IT experience 3 to 9 yr` has 3 (3.6%) zeros	Zeros
`People (PRF) - IT experience >9 yr` has 2 (2.4%) zeros	Zeros

Reproduction

Analysis started	2025-05-15 13:26:26.986562
Analysis finished	2025-05-15 13:28:04.962394
Duration	1 minute and 37.98 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

ISBSG Project ID
Real number (ℝ)

Distinct	83
Distinct (%)	98.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20951.143

Minimum	10279
Maximum	32010
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	804.0 B

Quantile statistics

Minimum	10279
5-th percentile	11498.8
Q1	14851.25
median	20162
Q3	26671.25
95-th percentile	31036.25
Maximum	32010
Range	21731
Interquartile range (IQR)	11820

Descriptive statistics

Standard deviation	6595.8526
Coefficient of variation (CV)	0.31482066
Kurtosis	-1.3453905
Mean	20951.143
Median Absolute Deviation (MAD)	5832
Skewness	0.078118411
Sum	1759896
Variance	43505271
Monotonicity	Increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
31166	2	2.4%
10279	1	1.2%
24701	1	1.2%
26422	1	1.2%
26195	1	1.2%
26034	1	1.2%
25559	1	1.2%
25480	1	1.2%
25415	1	1.2%
25247	1	1.2%
Other values (73)	73	86.9%

Value	Count	Frequency (%)
10279	1	1.2%
10317	1	1.2%
10572	1	1.2%
11278	1	1.2%
11497	1	1.2%
11509	1	1.2%
11738	1	1.2%
11801	1	1.2%
12664	1	1.2%
13026	1	1.2%

Value	Count	Frequency (%)
32010	1	1.2%
31969	1	1.2%
31166	2	2.4%
31103	1	1.2%
30658	1	1.2%
30621	1	1.2%
30466	1	1.2%
30367	1	1.2%
30029	1	1.2%
29471	1	1.2%

External (EEF) - Data Quality Rating
Categorical

High correlation

Distinct	4
Distinct (%)	4.8%
Missing	0
Missing (%)	0.0%
Memory size	804.0 B

B	57
A	25
C	1
D	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	84
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	2.4%

Sample

1st row	B
2nd row	B
3rd row	B
4th row	A
5th row	B

Common Values

Value	Count	Frequency (%)
B	57	67.9%
A	25	29.8%
C	1	1.2%
D	1	1.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
b	57	67.9%
a	25	29.8%
c	1	1.2%
d	1	1.2%

Most occurring characters

Value	Count	Frequency (%)
B	57	67.9%
A	25	29.8%
C	1	1.2%
D	1	1.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	84	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
B	57	67.9%
A	25	29.8%
C	1	1.2%
D	1	1.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	84	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
B	57	67.9%
A	25	29.8%
C	1	1.2%
D	1	1.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	84	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
B	57	67.9%
A	25	29.8%
C	1	1.2%
D	1	1.2%

Project (PRF) - Year of Project
Real number (ℝ)

High correlation

Distinct	9
Distinct (%)	10.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2011.369

Minimum	2005
Maximum	2015
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	804.0 B

Quantile statistics

Minimum	2005
5-th percentile	2008.15
Q1	2009.75
median	2012
Q3	2013
95-th percentile	2014
Maximum	2015
Range	10
Interquartile range (IQR)	3.25

Descriptive statistics

Standard deviation	2.166446
Coefficient of variation (CV)	0.0010771002
Kurtosis	-0.67937714
Mean	2011.369
Median Absolute Deviation (MAD)	2
Skewness	-0.20697571
Sum	168955
Variance	4.6934882
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
2009	16	19.0%
2010	15	17.9%
2013	14	16.7%
2014	13	15.5%
2012	13	15.5%
2015	4	4.8%
2011	4	4.8%
2008	4	4.8%
2005	1	1.2%

Value	Count	Frequency (%)
2005	1	1.2%
2008	4	4.8%
2009	16	19.0%
2010	15	17.9%
2011	4	4.8%
2012	13	15.5%
2013	14	16.7%
2014	13	15.5%
2015	4	4.8%

Value	Count	Frequency (%)
2015	4	4.8%
2014	13	15.5%
2013	14	16.7%
2012	13	15.5%
2011	4	4.8%
2010	15	17.9%
2009	16	19.0%
2008	4	4.8%
2005	1	1.2%

External (EEF) - Industry Sector
Categorical

High correlation Missing

Distinct	10
Distinct (%)	12.0%
Missing	1
Missing (%)	1.2%
Memory size	804.0 B

Banking	24
Government	20
Service Industry	14
Education	13
Manufacturing	3
Other values (5)	9

Length

Max length	23
Median length	21
Mean length	11.084337
Min length	7

Characters and Unicode

Total characters	920
Distinct characters	33
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	3.6%

Sample

1st row	Banking
2nd row	Government
3rd row	Government
4th row	Service Industry
5th row	Banking

Common Values

Value	Count	Frequency (%)
Banking	24	28.6%
Government	20	23.8%
Service Industry	14	16.7%
Education	13	15.5%
Manufacturing	3	3.6%
Medical & Health Care	3	3.6%
Electronics & Computers	3	3.6%
Communication	1	1.2%
Financial	1	1.2%
Wholesale & Retail	1	1.2%
(Missing)	1	1.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
banking	24	21.1%
government	20	17.5%
service	14	12.3%
industry	14	12.3%
education	13	11.4%
	7	6.1%
manufacturing	3	2.6%
medical	3	2.6%
health	3	2.6%
care	3	2.6%
Other values (6)	10	8.8%

Most occurring characters

Value	Count	Frequency (%)
n	128	13.9%
e	86	9.3%
i	65	7.1%
t	61	6.6%
r	60	6.5%
a	57	6.2%
o	42	4.6%
c	41	4.5%
u	37	4.0%
v	34	3.7%
Other values (23)	309	33.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	920	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	128	13.9%
e	86	9.3%
i	65	7.1%
t	61	6.6%
r	60	6.5%
a	57	6.2%
o	42	4.6%
c	41	4.5%
u	37	4.0%
v	34	3.7%
Other values (23)	309	33.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	920	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	128	13.9%
e	86	9.3%
i	65	7.1%
t	61	6.6%
r	60	6.5%
a	57	6.2%
o	42	4.6%
c	41	4.5%
u	37	4.0%
v	34	3.7%
Other values (23)	309	33.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	920	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	128	13.9%
e	86	9.3%
i	65	7.1%
t	61	6.6%
r	60	6.5%
a	57	6.2%
o	42	4.6%
c	41	4.5%
u	37	4.0%
v	34	3.7%
Other values (23)	309	33.6%

External (EEF) - Organisation Type
Categorical

High correlation

Distinct	25
Distinct (%)	29.8%
Missing	0
Missing (%)	0.0%
Memory size	804.0 B

Government;Education Institution;Wholesale & Retail Trade;Transport & Storage;Communications;Medical and Health Care;Banking;	23
Government;	19
Education Institution;Electricity, Gas, Water;IEEE;	6
Education Institution;Electricity, Gas, Water;University;	5
Art , Events , Ticketing;	3
Other values (20)	28

Length

Max length	254
Median length	91
Mean length	54.940476
Min length	8

Characters and Unicode

Total characters	4615
Distinct characters	45
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13 ?
Unique (%)	15.5%

Sample

1st row	Government;Education Institution;Wholesale & Retail Trade;Transport & Storage;Communications;Medical and Health Care;Banking;
2nd row	Government;
3rd row	Government;
4th row	Community Services;
5th row	Government;Education Institution;Wholesale & Retail Trade;Transport & Storage;Communications;Medical and Health Care;Banking;

Common Values

Value	Count	Frequency (%)
Government;Education Institution;Wholesale & Retail Trade;Transport & Storage;Communications;Medical and Health Care;Banking;	23	27.4%
Government;	19	22.6%
Education Institution;Electricity, Gas, Water;IEEE;	6	7.1%
Education Institution;Electricity, Gas, Water;University;	5	6.0%
Art , Events , Ticketing;	3	3.6%
Transport & Storage;	3	3.6%
Aerospace / Automotive;	2	2.4%
Community Services;	2	2.4%
Surveillance & Security;	2	2.4%
High Tech;	2	2.4%
Other values (15)	17	20.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	64	16.2%
and	26	6.6%
health	26	6.6%
retail	24	6.1%
trade;transport	24	6.1%
storage;communications;medical	24	6.1%
government;education	23	5.8%
care;banking	23	5.8%
institution;wholesale	23	5.8%
government	19	4.8%
Other values (52)	120	30.3%

Most occurring characters

Value	Count	Frequency (%)
t	401	8.7%
n	399	8.6%
e	376	8.1%
a	358	7.8%
i	319	6.9%
	312	6.8%
o	282	6.1%
;	260	5.6%
r	238	5.2%
s	162	3.5%
Other values (35)	1508	32.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4615	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	401	8.7%
n	399	8.6%
e	376	8.1%
a	358	7.8%
i	319	6.9%
	312	6.8%
o	282	6.1%
;	260	5.6%
r	238	5.2%
s	162	3.5%
Other values (35)	1508	32.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4615	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	401	8.7%
n	399	8.6%
e	376	8.1%
a	358	7.8%
i	319	6.9%
	312	6.8%
o	282	6.1%
;	260	5.6%
r	238	5.2%
s	162	3.5%
Other values (35)	1508	32.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4615	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	401	8.7%
n	399	8.6%
e	376	8.1%
a	358	7.8%
i	319	6.9%
	312	6.8%
o	282	6.1%
;	260	5.6%
r	238	5.2%
s	162	3.5%
Other values (35)	1508	32.7%

Project (PRF) - Application Group
Categorical

High correlation Imbalance Missing

Distinct	4
Distinct (%)	5.1%
Missing	5
Missing (%)	6.0%
Memory size	804.0 B

Business Application	74
Real-Time Application	2
Infrastructure Software	2
Mathematically-Intensive Application	1

Length

Max length	36
Median length	20
Mean length	20.303797
Min length	20

Characters and Unicode

Total characters	1604
Distinct characters	27
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.3%

Sample

1st row	Business Application
2nd row	Business Application
3rd row	Business Application
4th row	Business Application
5th row	Business Application

Common Values

Value	Count	Frequency (%)
Business Application	74	88.1%
Real-Time Application	2	2.4%
Infrastructure Software	2	2.4%
Mathematically-Intensive Application	1	1.2%
(Missing)	5	6.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
application	77	48.7%
business	74	46.8%
real-time	2	1.3%
infrastructure	2	1.3%
software	2	1.3%
mathematically-intensive	1	0.6%

Most occurring characters

Value	Count	Frequency (%)
i	232	14.5%
s	225	14.0%
n	155	9.7%
p	154	9.6%
a	86	5.4%
t	86	5.4%
e	85	5.3%
l	81	5.0%
c	80	5.0%
o	79	4.9%
Other values (17)	341	21.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1604	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	232	14.5%
s	225	14.0%
n	155	9.7%
p	154	9.6%
a	86	5.4%
t	86	5.4%
e	85	5.3%
l	81	5.0%
c	80	5.0%
o	79	4.9%
Other values (17)	341	21.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1604	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	232	14.5%
s	225	14.0%
n	155	9.7%
p	154	9.6%
a	86	5.4%
t	86	5.4%
e	85	5.3%
l	81	5.0%
c	80	5.0%
o	79	4.9%
Other values (17)	341	21.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1604	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	232	14.5%
s	225	14.0%
n	155	9.7%
p	154	9.6%
a	86	5.4%
t	86	5.4%
e	85	5.3%
l	81	5.0%
c	80	5.0%
o	79	4.9%
Other values (17)	341	21.3%

Project (PRF) - Application Type
Categorical

High correlation

Distinct	32
Distinct (%)	38.1%
Missing	0
Missing (%)	0.0%
Memory size	804.0 B

Surveillance and security;	23
Business Application;	14
Content management system;Dynamic website;	6
Course management system;Dynamic website;	5
Document management;Financial transaction process/accounting;Online analysis and reporting;Stock control & order processing;Workflow support & management;Customer billing;Reservation system (eg. Airline, hotel);	3
Other values (27)	33

Length

Max length	255
Median length	101
Mean length	39.595238
Min length	4

Characters and Unicode

Total characters	3326
Distinct characters	51
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	21 ?
Unique (%)	25.0%

Sample

1st row	Surveillance and security;
2nd row	Business Application;
3rd row	Business Application;
4th row	Workflow support & management;Complex process control;
5th row	Surveillance and security;

Common Values

Value	Count	Frequency (%)
Surveillance and security;	23	27.4%
Business Application;	14	16.7%
Content management system;Dynamic website;	6	7.1%
Course management system;Dynamic website;	5	6.0%
Document management;Financial transaction process/accounting;Online analysis and reporting;Stock control & order processing;Workflow support & management;Customer billing;Reservation system (eg. Airline, hotel);	3	3.6%
Data or database management;	2	2.4%
Workflow support & management;Complex process control;	2	2.4%
Electronic Data Interchange;	2	2.4%
IdM;	2	2.4%
Catalogue/register of things or events;	2	2.4%
Other values (22)	23	27.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
and	29	8.6%
security	24	7.1%
surveillance	23	6.8%
management	22	6.5%
application	15	4.5%
business	14	4.2%
	12	3.6%
system;dynamic	11	3.3%
website	11	3.3%
or	10	3.0%
Other values (80)	166	49.3%

Most occurring characters

Value	Count	Frequency (%)
e	322	9.7%
n	301	9.0%
	253	7.6%
a	243	7.3%
t	227	6.8%
i	225	6.8%
s	198	6.0%
r	166	5.0%
o	166	5.0%
c	144	4.3%
Other values (41)	1081	32.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3326	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	322	9.7%
n	301	9.0%
	253	7.6%
a	243	7.3%
t	227	6.8%
i	225	6.8%
s	198	6.0%
r	166	5.0%
o	166	5.0%
c	144	4.3%
Other values (41)	1081	32.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3326	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	322	9.7%
n	301	9.0%
	253	7.6%
a	243	7.3%
t	227	6.8%
i	225	6.8%
s	198	6.0%
r	166	5.0%
o	166	5.0%
c	144	4.3%
Other values (41)	1081	32.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3326	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	322	9.7%
n	301	9.0%
	253	7.6%
a	243	7.3%
t	227	6.8%
i	225	6.8%
s	198	6.0%
r	166	5.0%
o	166	5.0%
c	144	4.3%
Other values (41)	1081	32.5%

Project (PRF) - Development Type
Categorical

High correlation

Distinct	3
Distinct (%)	3.6%
Missing	0
Missing (%)	0.0%
Memory size	804.0 B

Enhancement	48
New Development	32
Re-development	4

Length

Max length	15
Median length	11
Mean length	12.666667
Min length	11

Characters and Unicode

Total characters	1064
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Enhancement
2nd row	Enhancement
3rd row	Enhancement
4th row	Enhancement
5th row	Enhancement

Common Values

Value	Count	Frequency (%)
Enhancement	48	57.1%
New Development	32	38.1%
Re-development	4	4.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
enhancement	48	41.4%
new	32	27.6%
development	32	27.6%
re-development	4	3.4%

Most occurring characters

Value	Count	Frequency (%)
e	240	22.6%
n	180	16.9%
m	84	7.9%
t	84	7.9%
E	48	4.5%
h	48	4.5%
a	48	4.5%
c	48	4.5%
v	36	3.4%
p	36	3.4%
Other values (9)	212	19.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1064	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	240	22.6%
n	180	16.9%
m	84	7.9%
t	84	7.9%
E	48	4.5%
h	48	4.5%
a	48	4.5%
c	48	4.5%
v	36	3.4%
p	36	3.4%
Other values (9)	212	19.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1064	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	240	22.6%
n	180	16.9%
m	84	7.9%
t	84	7.9%
E	48	4.5%
h	48	4.5%
a	48	4.5%
c	48	4.5%
v	36	3.4%
p	36	3.4%
Other values (9)	212	19.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1064	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	240	22.6%
n	180	16.9%
m	84	7.9%
t	84	7.9%
E	48	4.5%
h	48	4.5%
a	48	4.5%
c	48	4.5%
v	36	3.4%
p	36	3.4%
Other values (9)	212	19.9%

Tech (TF) - Development Platform
Categorical

High correlation Missing

Distinct	4
Distinct (%)	5.8%
Missing	15
Missing (%)	17.9%
Memory size	804.0 B

PC	49
Proprietary	10
Multi	9
MR	1

Length

Max length	11
Median length	2
Mean length	3.6956522
Min length	2

Characters and Unicode

Total characters	255
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.4%

Sample

1st row	PC
2nd row	Multi
3rd row	PC
4th row	Multi
5th row	PC

Common Values

Value	Count	Frequency (%)
PC	49	58.3%
Proprietary	10	11.9%
Multi	9	10.7%
MR	1	1.2%
(Missing)	15	17.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
pc	49	71.0%
proprietary	10	14.5%
multi	9	13.0%
mr	1	1.4%

Most occurring characters

Value	Count	Frequency (%)
P	59	23.1%
C	49	19.2%
r	30	11.8%
i	19	7.5%
t	19	7.5%
o	10	3.9%
p	10	3.9%
e	10	3.9%
a	10	3.9%
y	10	3.9%
Other values (4)	29	11.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	255	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
P	59	23.1%
C	49	19.2%
r	30	11.8%
i	19	7.5%
t	19	7.5%
o	10	3.9%
p	10	3.9%
e	10	3.9%
a	10	3.9%
y	10	3.9%
Other values (4)	29	11.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	255	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
P	59	23.1%
C	49	19.2%
r	30	11.8%
i	19	7.5%
t	19	7.5%
o	10	3.9%
p	10	3.9%
e	10	3.9%
a	10	3.9%
y	10	3.9%
Other values (4)	29	11.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	255	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
P	59	23.1%
C	49	19.2%
r	30	11.8%
i	19	7.5%
t	19	7.5%
o	10	3.9%
p	10	3.9%
e	10	3.9%
a	10	3.9%
y	10	3.9%
Other values (4)	29	11.4%

Tech (TF) - Language Type
Categorical

High correlation

Distinct	3
Distinct (%)	3.6%
Missing	0
Missing (%)	0.0%
Memory size	804.0 B

3GL	56
4GL	18
5GL	10

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	252
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3GL
2nd row	4GL
3rd row	4GL
4th row	3GL
5th row	3GL

Common Values

Value	Count	Frequency (%)
3GL	56	66.7%
4GL	18	21.4%
5GL	10	11.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3gl	56	66.7%
4gl	18	21.4%
5gl	10	11.9%

Most occurring characters

Value	Count	Frequency (%)
G	84	33.3%
L	84	33.3%
3	56	22.2%
4	18	7.1%
5	10	4.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	252	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
G	84	33.3%
L	84	33.3%
3	56	22.2%
4	18	7.1%
5	10	4.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	252	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
G	84	33.3%
L	84	33.3%
3	56	22.2%
4	18	7.1%
5	10	4.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	252	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
G	84	33.3%
L	84	33.3%
3	56	22.2%
4	18	7.1%
5	10	4.0%

Tech (TF) - Primary Programming Language
Categorical

High correlation

Distinct	9
Distinct (%)	10.7%
Missing	0
Missing (%)	0.0%
Memory size	804.0 B

C#	35
Java	16
Proprietary Agile Platform	10
Oracle	9
.Net	8
Other values (4)	6

Length

Max length	26
Median length	10
Mean length	6.1190476
Min length	2

Characters and Unicode

Total characters	514
Distinct characters	29
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	2.4%

Sample

1st row	C#
2nd row	.Net
3rd row	Oracle
4th row	JavaScript
5th row	C#

Common Values

Value	Count	Frequency (%)
C#	35	41.7%
Java	16	19.0%
Proprietary Agile Platform	10	11.9%
Oracle	9	10.7%
.Net	8	9.5%
JavaScript	2	2.4%
C++	2	2.4%
ABAP	1	1.2%
PL/I	1	1.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
c	37	35.6%
java	16	15.4%
proprietary	10	9.6%
agile	10	9.6%
platform	10	9.6%
oracle	9	8.7%
net	8	7.7%
javascript	2	1.9%
abap	1	1.0%
pl/i	1	1.0%

Most occurring characters

Value	Count	Frequency (%)
a	65	12.6%
r	51	9.9%
C	37	7.2%
e	37	7.2%
#	35	6.8%
t	30	5.8%
l	29	5.6%
P	22	4.3%
i	22	4.3%
	20	3.9%
Other values (19)	166	32.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	514	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	65	12.6%
r	51	9.9%
C	37	7.2%
e	37	7.2%
#	35	6.8%
t	30	5.8%
l	29	5.6%
P	22	4.3%
i	22	4.3%
	20	3.9%
Other values (19)	166	32.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	514	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	65	12.6%
r	51	9.9%
C	37	7.2%
e	37	7.2%
#	35	6.8%
t	30	5.8%
l	29	5.6%
P	22	4.3%
i	22	4.3%
	20	3.9%
Other values (19)	166	32.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	514	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	65	12.6%
r	51	9.9%
C	37	7.2%
e	37	7.2%
#	35	6.8%
t	30	5.8%
l	29	5.6%
P	22	4.3%
i	22	4.3%
	20	3.9%
Other values (19)	166	32.3%

Project (PRF) - Functional Size
Real number (ℝ)

High correlation Missing

Distinct	75
Distinct (%)	90.4%
Missing	1
Missing (%)	1.2%
Infinite	0
Infinite (%)	0.0%
Mean	240.3494

Minimum	2
Maximum	5393
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	804.0 B

Quantile statistics

Minimum	2
5-th percentile	8.1
Q1	24.5
median	85
Q3	172.5
95-th percentile	742.7
Maximum	5393
Range	5391
Interquartile range (IQR)	148

Descriptive statistics

Standard deviation	643.22396
Coefficient of variation (CV)	2.6762037
Kurtosis	51.735933
Mean	240.3494
Median Absolute Deviation (MAD)	67
Skewness	6.7233306
Sum	19949
Variance	413737.06
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
243	2	2.4%
138	2	2.4%
72	2	2.4%
45	2	2.4%
13	2	2.4%
18	2	2.4%
51	2	2.4%
15	2	2.4%
155	1	1.2%
113	1	1.2%
Other values (65)	65	77.4%

Value	Count	Frequency (%)
2	1	1.2%
3	1	1.2%
4	1	1.2%
5	1	1.2%
8	1	1.2%
9	1	1.2%
10	1	1.2%
11	1	1.2%
12	1	1.2%
13	2	2.4%

Value	Count	Frequency (%)
5393	1	1.2%
2003	1	1.2%
1107	1	1.2%
912	1	1.2%
748	1	1.2%
695	1	1.2%
679	1	1.2%
498	1	1.2%
492	1	1.2%
483	1	1.2%

Project (PRF) - Relative Size
Categorical

High correlation Missing

Distinct	7
Distinct (%)	8.4%
Missing	1
Missing (%)	1.2%
Memory size	804.0 B

M1	24
S	23
XS	17
M2	10
XXS	6
Other values (2)	3

Length

Max length	3
Median length	2
Mean length	1.7710843
Min length	1

Characters and Unicode

Total characters	147
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.2%

Sample

1st row	XS
2nd row	XXS
3rd row	S
4th row	S
5th row	S

Common Values

Value	Count	Frequency (%)
M1	24	28.6%
S	23	27.4%
XS	17	20.2%
M2	10	11.9%
XXS	6	7.1%
L	2	2.4%
XL	1	1.2%
(Missing)	1	1.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
m1	24	28.9%
s	23	27.7%
xs	17	20.5%
m2	10	12.0%
xxs	6	7.2%
l	2	2.4%
xl	1	1.2%

Most occurring characters

Value	Count	Frequency (%)
S	46	31.3%
M	34	23.1%
X	30	20.4%
1	24	16.3%
2	10	6.8%
L	3	2.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	147	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
S	46	31.3%
M	34	23.1%
X	30	20.4%
1	24	16.3%
2	10	6.8%
L	3	2.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	147	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
S	46	31.3%
M	34	23.1%
X	30	20.4%
1	24	16.3%
2	10	6.8%
L	3	2.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	147	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
S	46	31.3%
M	34	23.1%
X	30	20.4%
1	24	16.3%
2	10	6.8%
L	3	2.0%

Project (PRF) - Normalised Work Effort Level 1
Real number (ℝ)

High correlation

Distinct	75
Distinct (%)	89.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2935.7738

Minimum	6
Maximum	52743
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	804.0 B

Quantile statistics

Minimum	6
5-th percentile	20.45
Q1	77.75
median	470.5
Q3	1020
95-th percentile	17835.85
Maximum	52743
Range	52737
Interquartile range (IQR)	942.25

Descriptive statistics

Standard deviation	8964.9271
Coefficient of variation (CV)	3.0536846
Kurtosis	20.02953
Mean	2935.7738
Median Absolute Deviation (MAD)	419
Skewness	4.4292196
Sum	246605
Variance	80369919
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
47	4	4.8%
20	3	3.6%
1020	2	2.4%
225	2	2.4%
125	2	2.4%
51	2	2.4%
52743	1	1.2%
98	1	1.2%
606	1	1.2%
326	1	1.2%
Other values (65)	65	77.4%

Value	Count	Frequency (%)
6	1	1.2%
9	1	1.2%
20	3	3.6%
23	1	1.2%
27	1	1.2%
29	1	1.2%
34	1	1.2%
38	1	1.2%
43	1	1.2%
47	4	4.8%

Value	Count	Frequency (%)
52743	1	1.2%
47493	1	1.2%
36593	1	1.2%
19795	1	1.2%
19606	1	1.2%
7805	1	1.2%
7037	1	1.2%
5408	1	1.2%
4393	1	1.2%
4110	1	1.2%

Project (PRF) - Normalised Work Effort
Real number (ℝ)

High correlation

Distinct	77
Distinct (%)	91.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3219.6786

Minimum	6
Maximum	60047
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	804.0 B

Quantile statistics

Minimum	6
5-th percentile	28.15
Q1	85.75
median	474.5
Q3	1060.75
95-th percentile	17835.85
Maximum	60047
Range	60041
Interquartile range (IQR)	975

Descriptive statistics

Standard deviation	10291.495
Coefficient of variation (CV)	3.1964356
Kurtosis	20.485858
Mean	3219.6786
Median Absolute Deviation (MAD)	411
Skewness	4.5205055
Sum	270453
Variance	1.0591487 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
47	4	4.8%
225	2	2.4%
51	2	2.4%
1105	2	2.4%
125	2	2.4%
606	1	1.2%
326	1	1.2%
600	1	1.2%
667	1	1.2%
52743	1	1.2%
Other values (67)	67	79.8%

Value	Count	Frequency (%)
6	1	1.2%
9	1	1.2%
23	1	1.2%
27	1	1.2%
28	1	1.2%
29	1	1.2%
34	1	1.2%
38	1	1.2%
43	1	1.2%
47	4	4.8%

Value	Count	Frequency (%)
60047	1	1.2%
52743	1	1.2%
47493	1	1.2%
19795	1	1.2%
19606	1	1.2%
7805	1	1.2%
7037	1	1.2%
5408	1	1.2%
4393	1	1.2%
4110	1	1.2%

Project (PRF) - Normalised Level 1 PDR (ufp)
Real number (ℝ)

High correlation Missing

Distinct	65
Distinct (%)	78.3%
Missing	1
Missing (%)	1.2%
Infinite	0
Infinite (%)	0.0%
Mean	12.912048

Minimum	0.1
Maximum	171
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	804.0 B

Quantile statistics

Minimum	0.1
5-th percentile	0.51
Q1	2.35
median	3.6
Q3	12.1
95-th percentile	47.37
Maximum	171
Range	170.9
Interquartile range (IQR)	9.75

Descriptive statistics

Standard deviation	24.156448
Coefficient of variation (CV)	1.8708456
Kurtosis	23.753515
Mean	12.912048
Median Absolute Deviation (MAD)	2.1
Skewness	4.3136469
Sum	1071.7
Variance	583.534
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2.8	3	3.6%
3.5	3	3.6%
2	2	2.4%
3	2	2.4%
3.1	2	2.4%
2.1	2	2.4%
3.6	2	2.4%
4.4	2	2.4%
3.9	2	2.4%
2.6	2	2.4%
Other values (55)	61	72.6%

Value	Count	Frequency (%)
0.1	1	1.2%
0.2	1	1.2%
0.4	2	2.4%
0.5	1	1.2%
0.6	1	1.2%
0.7	2	2.4%
0.8	1	1.2%
1	1	1.2%
1.1	1	1.2%
1.2	1	1.2%

Value	Count	Frequency (%)
171	1	1.2%
102	1	1.2%
53.8	1	1.2%
48.2	1	1.2%
47.6	1	1.2%
45.3	1	1.2%
43.5	1	1.2%
39.7	1	1.2%
38.3	1	1.2%
30.3	1	1.2%

Project (PRF) - Normalised PDR (ufp)
Real number (ℝ)

High correlation Missing

Distinct	64
Distinct (%)	77.1%
Missing	1
Missing (%)	1.2%
Infinite	0
Infinite (%)	0.0%
Mean	12.944578

Minimum	0.1
Maximum	171
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	804.0 B

Quantile statistics

Minimum	0.1
5-th percentile	0.7
Q1	2.45
median	3.6
Q3	12.1
95-th percentile	47.37
Maximum	171
Range	170.9
Interquartile range (IQR)	9.65

Descriptive statistics

Standard deviation	24.140298
Coefficient of variation (CV)	1.8648964
Kurtosis	23.800333
Mean	12.944578
Median Absolute Deviation (MAD)	1.9
Skewness	4.319178
Sum	1074.4
Variance	582.75396
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2.8	3	3.6%
2.6	3	3.6%
3.5	3	3.6%
2	2	2.4%
3	2	2.4%
3.1	2	2.4%
3.6	2	2.4%
4.4	2	2.4%
2.7	2	2.4%
1.9	2	2.4%
Other values (54)	60	71.4%

Value	Count	Frequency (%)
0.1	1	1.2%
0.5	1	1.2%
0.6	2	2.4%
0.7	2	2.4%
0.8	1	1.2%
0.9	1	1.2%
1	1	1.2%
1.1	1	1.2%
1.2	1	1.2%
1.4	1	1.2%

Value	Count	Frequency (%)
171	1	1.2%
102	1	1.2%
53.8	1	1.2%
48.2	1	1.2%
47.6	1	1.2%
45.3	1	1.2%
43.5	1	1.2%
39.7	1	1.2%
38.3	1	1.2%
30.3	1	1.2%

Project (PRF) - Defect Density
Real number (ℝ)

High correlation Missing Zeros

Distinct	14
Distinct (%)	45.2%
Missing	53
Missing (%)	63.1%
Infinite	0
Infinite (%)	0.0%
Mean	19.229032

Minimum	0
Maximum	173.9
Zeros	18
Zeros (%)	21.4%
Negative	0
Negative (%)	0.0%
Memory size	804.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	32.7
95-th percentile	57.6
Maximum	173.9
Range	173.9
Interquartile range (IQR)	32.7

Descriptive statistics

Standard deviation	35.625732
Coefficient of variation (CV)	1.8527054
Kurtosis	11.410046
Mean	19.229032
Median Absolute Deviation (MAD)	0
Skewness	2.9948561
Sum	596.1
Variance	1269.1928
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
0	18	21.4%
56.2	1	1.2%
47.6	1	1.2%
43.5	1	1.2%
59	1	1.2%
173.9	1	1.2%
21.3	1	1.2%
51.5	1	1.2%
42.8	1	1.2%
9.2	1	1.2%
Other values (4)	4	4.8%
(Missing)	53	63.1%

Value	Count	Frequency (%)
0	18	21.4%
1.9	1	1.2%
9.2	1	1.2%
14	1	1.2%
21.3	1	1.2%
22.6	1	1.2%
42.8	1	1.2%
43.5	1	1.2%
47.6	1	1.2%
51.5	1	1.2%

Value	Count	Frequency (%)
173.9	1	1.2%
59	1	1.2%
56.2	1	1.2%
52.6	1	1.2%
51.5	1	1.2%
47.6	1	1.2%
43.5	1	1.2%
42.8	1	1.2%
22.6	1	1.2%
21.3	1	1.2%

Project (PRF) - Speed of Delivery
Real number (ℝ)

High correlation Missing

Distinct	75
Distinct (%)	92.6%
Missing	3
Missing (%)	3.6%
Infinite	0
Infinite (%)	0.0%
Mean	83.383951

Minimum	0.2
Maximum	2157.2
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	804.0 B

Quantile statistics

Minimum	0.2
5-th percentile	0.8
Q1	3.1
median	29.1
Q3	72.9
95-th percentile	221.4
Maximum	2157.2
Range	2157
Interquartile range (IQR)	69.8

Descriptive statistics

Standard deviation	244.40772
Coefficient of variation (CV)	2.9311122
Kurtosis	66.758092
Mean	83.383951
Median Absolute Deviation (MAD)	27.5
Skewness	7.8461854
Sum	6754.1
Variance	59735.132
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.3	2	2.4%
0.8	2	2.4%
1.5	2	2.4%
1.1	2	2.4%
72.9	2	2.4%
121.5	2	2.4%
49.9	1	1.2%
51.7	1	1.2%
14.1	1	1.2%
74.3	1	1.2%
Other values (65)	65	77.4%
(Missing)	3	3.6%

Value	Count	Frequency (%)
0.2	1	1.2%
0.3	1	1.2%
0.4	1	1.2%
0.8	2	2.4%
0.9	1	1.2%
1	1	1.2%
1.1	2	2.4%
1.2	1	1.2%
1.3	2	2.4%
1.5	2	2.4%

Value	Count	Frequency (%)
2157.2	1	1.2%
345	1	1.2%
249.3	1	1.2%
237.5	1	1.2%
221.4	1	1.2%
220	1	1.2%
212.5	1	1.2%
200.3	1	1.2%
180	1	1.2%
169.8	1	1.2%

Project (PRF) - Manpower Delivery Rate
Real number (ℝ)

High correlation Missing

Distinct	46
Distinct (%)	82.1%
Missing	28
Missing (%)	33.3%
Infinite	0
Infinite (%)	0.0%
Mean	46.051786

Minimum	0.2
Maximum	2157.2
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	804.0 B

Quantile statistics

Minimum	0.2
5-th percentile	0.7
Q1	1.375
median	2.95
Q3	9.575
95-th percentile	35.725
Maximum	2157.2
Range	2157
Interquartile range (IQR)	8.2

Descriptive statistics

Standard deviation	287.59762
Coefficient of variation (CV)	6.2450915
Kurtosis	55.709157
Mean	46.051786
Median Absolute Deviation (MAD)	2
Skewness	7.4551952
Sum	2578.9
Variance	82712.388
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=46)

Value	Count	Frequency (%)
9.5	3	3.6%
0.8	3	3.6%
1.3	3	3.6%
1.5	3	3.6%
2	2	2.4%
1.1	2	2.4%
82	1	1.2%
14.9	1	1.2%
4.5	1	1.2%
10.3	1	1.2%
Other values (36)	36	42.9%
(Missing)	28	33.3%

Value	Count	Frequency (%)
0.2	1	1.2%
0.3	1	1.2%
0.4	1	1.2%
0.8	3	3.6%
0.9	1	1.2%
1	1	1.2%
1.1	2	2.4%
1.2	1	1.2%
1.3	3	3.6%
1.4	1	1.2%

Value	Count	Frequency (%)
2157.2	1	1.2%
82	1	1.2%
70.3	1	1.2%
24.2	1	1.2%
16.2	1	1.2%
14.9	1	1.2%
13.9	1	1.2%
13.1	1	1.2%
11.8	1	1.2%
11.5	1	1.2%

Project (PRF) - Project Elapsed Time
Real number (ℝ)

High correlation Missing

Distinct	21
Distinct (%)	25.6%
Missing	2
Missing (%)	2.4%
Infinite	0
Infinite (%)	0.0%
Mean	6.4207317

Minimum	0.4
Maximum	19
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	804.0 B

Quantile statistics

Minimum	0.4
5-th percentile	0.4
Q1	2.625
median	4
Q3	12
95-th percentile	12
Maximum	19
Range	18.6
Interquartile range (IQR)	9.375

Descriptive statistics

Standard deviation	5.0305668
Coefficient of variation (CV)	0.78348808
Kurtosis	-1.0914616
Mean	6.4207317
Median Absolute Deviation (MAD)	3.45
Skewness	0.47166326
Sum	526.5
Variance	25.306602
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
12	23	27.4%
3	19	22.6%
0.4	7	8.3%
5	4	4.8%
2	4	4.8%
0.7	4	4.8%
8	3	3.6%
9	2	2.4%
4	2	2.4%
10	2	2.4%
Other values (11)	12	14.3%

Value	Count	Frequency (%)
0.4	7	8.3%
0.7	4	4.8%
1	1	1.2%
1.1	1	1.2%
1.4	1	1.2%
1.5	1	1.2%
1.6	1	1.2%
2	4	4.8%
2.5	1	1.2%
3	19	22.6%

Value	Count	Frequency (%)
19	1	1.2%
18	1	1.2%
15	1	1.2%
14.8	1	1.2%
12	23	27.4%
10	2	2.4%
9	2	2.4%
8	3	3.6%
7	2	2.4%
5	4	4.8%

Project (PRF) - Team Size Group
Categorical

High correlation Missing

Distinct	8
Distinct (%)	13.6%
Missing	25
Missing (%)	29.8%
Memory size	804.0 B

1	22
5-8	12
2	9
3-4	7
9-14	4
Other values (3)	5

Length

Max length	5
Median length	1
Mean length	2.1864407
Min length	1

Characters and Unicode

Total characters	129
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.7%

Sample

1st row	1
2nd row	9-14
3rd row	1
4th row	5-8
5th row	1

Common Values

Value	Count	Frequency (%)
1	22	26.2%
5-8	12	14.3%
2	9	10.7%
3-4	7	8.3%
9-14	4	4.8%
21-30	2	2.4%
41-50	2	2.4%
61-70	1	1.2%
(Missing)	25	29.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	22	37.3%
5-8	12	20.3%
2	9	15.3%
3-4	7	11.9%
9-14	4	6.8%
21-30	2	3.4%
41-50	2	3.4%
61-70	1	1.7%

Most occurring characters

Value	Count	Frequency (%)
1	31	24.0%
-	28	21.7%
5	14	10.9%
4	13	10.1%
8	12	9.3%
2	11	8.5%
3	9	7.0%
0	5	3.9%
9	4	3.1%
6	1	0.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	129	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	31	24.0%
-	28	21.7%
5	14	10.9%
4	13	10.1%
8	12	9.3%
2	11	8.5%
3	9	7.0%
0	5	3.9%
9	4	3.1%
6	1	0.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	129	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	31	24.0%
-	28	21.7%
5	14	10.9%
4	13	10.1%
8	12	9.3%
2	11	8.5%
3	9	7.0%
0	5	3.9%
9	4	3.1%
6	1	0.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	129	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	31	24.0%
-	28	21.7%
5	14	10.9%
4	13	10.1%
8	12	9.3%
2	11	8.5%
3	9	7.0%
0	5	3.9%
9	4	3.1%
6	1	0.8%

Project (PRF) - Max Team Size
Real number (ℝ)

High correlation Missing

Distinct	14
Distinct (%)	23.7%
Missing	25
Missing (%)	29.8%
Infinite	0
Infinite (%)	0.0%
Mean	6.3559322

Minimum	1
Maximum	68
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	804.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	5
95-th percentile	27.5
Maximum	68
Range	67
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	11.84201
Coefficient of variation (CV)	1.8631429
Kurtosis	14.906062
Mean	6.3559322
Median Absolute Deviation (MAD)	1
Skewness	3.7127229
Sum	375
Variance	140.2332
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
1	22	26.2%
5	10	11.9%
2	9	10.7%
4	5	6.0%
8	2	2.4%
3	2	2.4%
10	2	2.4%
9	1	1.2%
22	1	1.2%
26	1	1.2%
Other values (4)	4	4.8%
(Missing)	25	29.8%

Value	Count	Frequency (%)
1	22	26.2%
2	9	10.7%
3	2	2.4%
4	5	6.0%
5	10	11.9%
8	2	2.4%
9	1	1.2%
10	2	2.4%
11	1	1.2%
22	1	1.2%

Value	Count	Frequency (%)
68	1	1.2%
46	1	1.2%
41	1	1.2%
26	1	1.2%
22	1	1.2%
11	1	1.2%
10	2	2.4%
9	1	1.2%
8	2	2.4%
5	10	11.9%

- CASE Tool Used
Boolean

High correlation Missing

Distinct	2
Distinct (%)	12.5%
Missing	68
Missing (%)	81.0%
Memory size	300.0 B

False	8
True	8
(Missing)	68

Value	Count	Frequency (%)
False	8	9.5%
True	8	9.5%
(Missing)	68	81.0%

Process (PMF) - Development Methodologies
Categorical

High correlation Imbalance Missing

Distinct	9
Distinct (%)	11.2%
Missing	4
Missing (%)	4.8%
Memory size	804.0 B

Agile Development;	63
Agile Development;Personal Software Process (PSP);Unified Process;	6
Personal Software Process (PSP);Unified Process;	5
Agile Development;Unified Process;	1
Agile Development;Scrum;	1
Other values (4)	4

Length

Max length	131
Median length	18
Mean length	26.3625
Min length	18

Characters and Unicode

Total characters	2109
Distinct characters	37
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	7.5%

Sample

1st row	Agile Development;
2nd row	Agile Development;
3rd row	Agile Development;
4th row	Agile Development;
5th row	Agile Development;

Common Values

Value	Count	Frequency (%)
Agile Development;	63	75.0%
Agile Development;Personal Software Process (PSP);Unified Process;	6	7.1%
Personal Software Process (PSP);Unified Process;	5	6.0%
Agile Development;Unified Process;	1	1.2%
Agile Development;Scrum;	1	1.2%
Agile Development;Iterative;	1	1.2%
Agile Development;Multifunctional Teams;Scrum;	1	1.2%
Agile Development;Joint Application Development (JAD);Multifunctional Teams;	1	1.2%
Agile Development;Extreme Programming (XP);Iterative;Rapid Application Development (RAD);Scrum;Timeboxing;Unified Process;IMES OOM;	1	1.2%
(Missing)	4	4.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
agile	75	35.4%
development	65	30.7%
process	23	10.8%
software	11	5.2%
psp);unified	11	5.2%
development;personal	6	2.8%
personal	5	2.4%
application	2	0.9%
teams	1	0.5%
process;imes	1	0.5%
Other values (12)	12	5.7%

Most occurring characters

Value	Count	Frequency (%)
e	374	17.7%
l	169	8.0%
	132	6.3%
o	130	6.2%
i	116	5.5%
;	111	5.3%
n	110	5.2%
t	100	4.7%
m	86	4.1%
p	82	3.9%
Other values (27)	699	33.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2109	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	374	17.7%
l	169	8.0%
	132	6.3%
o	130	6.2%
i	116	5.5%
;	111	5.3%
n	110	5.2%
t	100	4.7%
m	86	4.1%
p	82	3.9%
Other values (27)	699	33.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2109	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	374	17.7%
l	169	8.0%
	132	6.3%
o	130	6.2%
i	116	5.5%
;	111	5.3%
n	110	5.2%
t	100	4.7%
m	86	4.1%
p	82	3.9%
Other values (27)	699	33.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2109	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	374	17.7%
l	169	8.0%
	132	6.3%
o	130	6.2%
i	116	5.5%
;	111	5.3%
n	110	5.2%
t	100	4.7%
m	86	4.1%
p	82	3.9%
Other values (27)	699	33.1%

Process (PMF) - Prototyping Used
Boolean

Constant Missing

Distinct	1
Distinct (%)	20.0%
Missing	79
Missing (%)	94.0%
Memory size	300.0 B

True	5
(Missing)	79

Value	Count	Frequency (%)
True	5	6.0%
(Missing)	79	94.0%

Process (PMF) - Docs
Real number (ℝ)

High correlation

Distinct	13
Distinct (%)	15.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9.5119048

Minimum	1
Maximum	20
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	804.0 B

Quantile statistics

Minimum	1
5-th percentile	3
Q1	5
median	6
Q3	17
95-th percentile	18
Maximum	20
Range	19
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	6.0668843
Coefficient of variation (CV)	0.63782013
Kurtosis	-1.5381013
Mean	9.5119048
Median Absolute Deviation (MAD)	3
Skewness	0.48262636
Sum	799
Variance	36.807085
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
6	24	28.6%
18	15	17.9%
3	14	16.7%
5	10	11.9%
17	6	7.1%
16	4	4.8%
7	3	3.6%
15	2	2.4%
11	2	2.4%
14	1	1.2%
Other values (3)	3	3.6%

Value	Count	Frequency (%)
1	1	1.2%
3	14	16.7%
5	10	11.9%
6	24	28.6%
7	3	3.6%
11	2	2.4%
14	1	1.2%
15	2	2.4%
16	4	4.8%
17	6	7.1%

Value	Count	Frequency (%)
20	1	1.2%
19	1	1.2%
18	15	17.9%
17	6	7.1%
16	4	4.8%
15	2	2.4%
14	1	1.2%
11	2	2.4%
7	3	3.6%
6	24	28.6%

Tech (TF) - Architecture
Categorical

High correlation Missing

Distinct	4
Distinct (%)	5.8%
Missing	15
Missing (%)	17.9%
Memory size	804.0 B

Stand alone	30
Multi-tier with web public interface	27
Client server	11
Multi-tier	1

Length

Max length	36
Median length	13
Mean length	21.086957
Min length	10

Characters and Unicode

Total characters	1455
Distinct characters	23
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.4%

Sample

1st row	Stand alone
2nd row	Client server
3rd row	Stand alone
4th row	Multi-tier
5th row	Stand alone

Common Values

Value	Count	Frequency (%)
Stand alone	30	35.7%
Multi-tier with web public interface	27	32.1%
Client server	11	13.1%
Multi-tier	1	1.2%
(Missing)	15	17.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
stand	30	13.8%
alone	30	13.8%
multi-tier	28	12.8%
with	27	12.4%
web	27	12.4%
public	27	12.4%
interface	27	12.4%
client	11	5.0%
server	11	5.0%

Most occurring characters

Value	Count	Frequency (%)
e	172	11.8%
t	151	10.4%
	149	10.2%
i	148	10.2%
n	98	6.7%
l	96	6.6%
a	87	6.0%
r	77	5.3%
u	55	3.8%
c	54	3.7%
Other values (13)	368	25.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1455	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	172	11.8%
t	151	10.4%
	149	10.2%
i	148	10.2%
n	98	6.7%
l	96	6.6%
a	87	6.0%
r	77	5.3%
u	55	3.8%
c	54	3.7%
Other values (13)	368	25.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1455	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	172	11.8%
t	151	10.4%
	149	10.2%
i	148	10.2%
n	98	6.7%
l	96	6.6%
a	87	6.0%
r	77	5.3%
u	55	3.8%
c	54	3.7%
Other values (13)	368	25.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1455	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	172	11.8%
t	151	10.4%
	149	10.2%
i	148	10.2%
n	98	6.7%
l	96	6.6%
a	87	6.0%
r	77	5.3%
u	55	3.8%
c	54	3.7%
Other values (13)	368	25.3%

Tech (TF) - Client Server?
Boolean

High correlation Missing

Distinct	2
Distinct (%)	6.2%
Missing	52
Missing (%)	61.9%
Memory size	300.0 B

True	28
False	4
(Missing)	52

Value	Count	Frequency (%)
True	28	33.3%
False	4	4.8%
(Missing)	52	61.9%

Tech (TF) - Client Roles
Categorical

High correlation Missing

Distinct	10
Distinct (%)	38.5%
Missing	58
Missing (%)	69.0%
Memory size	804.0 B

Web/HTML browser;	13
Web public interface;	3
Data entry & validation;Data retrieval & presentation;Web/HTML browser;	2
Run a computer-human interface;Business logic or rule processing;Data entry & validation;Data retrieval & presentation;	2
Run a computer-human interface;Data entry & validation;Data retrieval & presentation;Web/HTML browser;Security;	1
Other values (5)	5

Length

Max length	119
Median length	115
Mean length	46.269231
Min length	17

Characters and Unicode

Total characters	1203
Distinct characters	36
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	23.1%

Sample

1st row	Data entry & validation;Data retrieval & presentation;Web/HTML browser;
2nd row	Web public interface;
3rd row	Run a computer-human interface;Data entry & validation;Data retrieval & presentation;Web/HTML browser;Security;
4th row	Run a computer-human interface;Data entry & validation;Web public interface;
5th row	Web/HTML browser;

Common Values

Value	Count	Frequency (%)
Web/HTML browser;	13	15.5%
Web public interface;	3	3.6%
Data entry & validation;Data retrieval & presentation;Web/HTML browser;	2	2.4%
Run a computer-human interface;Business logic or rule processing;Data entry & validation;Data retrieval & presentation;	2	2.4%
Run a computer-human interface;Data entry & validation;Data retrieval & presentation;Web/HTML browser;Security;	1	1.2%
Run a computer-human interface;Data entry & validation;Web public interface;	1	1.2%
Business logic or rule processing;Data entry & validation;Data retrieval & presentation;	1	1.2%
Run a computer-human interface;Business logic or rule processing;Database server;	1	1.2%
Data entry & validation;Data retrieval & presentation;Device/equipment interface;	1	1.2%
Run a computer-human interface;Data entry & validation;Data retrieval & presentation;Web/HTML browser;	1	1.2%
(Missing)	58	69.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
	17	12.3%
browser	16	11.6%
web/html	13	9.4%
entry	9	6.5%
validation;data	8	5.8%
retrieval	8	5.8%
a	6	4.3%
run	6	4.3%
computer-human	6	4.3%
interface	5	3.6%
Other values (17)	44	31.9%

Most occurring characters

Value	Count	Frequency (%)
e	127	10.6%
	112	9.3%
r	99	8.2%
a	94	7.8%
t	79	6.6%
n	66	5.5%
i	64	5.3%
o	52	4.3%
;	51	4.2%
s	47	3.9%
Other values (26)	412	34.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1203	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	127	10.6%
	112	9.3%
r	99	8.2%
a	94	7.8%
t	79	6.6%
n	66	5.5%
i	64	5.3%
o	52	4.3%
;	51	4.2%
s	47	3.9%
Other values (26)	412	34.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1203	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	127	10.6%
	112	9.3%
r	99	8.2%
a	94	7.8%
t	79	6.6%
n	66	5.5%
i	64	5.3%
o	52	4.3%
;	51	4.2%
s	47	3.9%
Other values (26)	412	34.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1203	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	127	10.6%
	112	9.3%
r	99	8.2%
a	94	7.8%
t	79	6.6%
n	66	5.5%
i	64	5.3%
o	52	4.3%
;	51	4.2%
s	47	3.9%
Other values (26)	412	34.2%

Tech (TF) - Server Roles
Categorical

High correlation Missing

Distinct	12
Distinct (%)	44.4%
Missing	57
Missing (%)	67.9%
Memory size	804.0 B

Security/authentication;	6
Database server;HTML/web server;Security/authentication;	5
HTML/web server;Security/authentication;	3
Database server;	3
Database server;HTML/web server;	3
Other values (7)	7

Length

Max length	157
Median length	85
Mean length	43.777778
Min length	16

Characters and Unicode

Total characters	1182
Distinct characters	41
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	25.9%

Sample

1st row	HTML/web server;Security/authentication;
2nd row	Multi-user legacy application;
3rd row	Database server;File &/or print server;HTML/web server;Multi-user legacy application;
4th row	Database server;HTML/web server;Mail server;Security/authentication;
5th row	Security/authentication;

Common Values

Value	Count	Frequency (%)
Security/authentication;	6	7.1%
Database server;HTML/web server;Security/authentication;	5	6.0%
HTML/web server;Security/authentication;	3	3.6%
Database server;	3	3.6%
Database server;HTML/web server;	3	3.6%
Multi-user legacy application;	1	1.2%
Database server;File &/or print server;HTML/web server;Multi-user legacy application;	1	1.2%
Database server;HTML/web server;Mail server;Security/authentication;	1	1.2%
Database server;File &/or print server;HTML/web server;Mail server;Security/authentication;	1	1.2%
HTML/web server;Multi-user legacy application;	1	1.2%
Other values (2)	2	2.4%
(Missing)	57	67.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
database	15	18.1%
server;html/web	12	14.5%
server;security/authentication	10	12.0%
security/authentication	6	7.2%
server	6	7.2%
html/web	4	4.8%
legacy	3	3.6%
application	3	3.6%
print	2	2.4%
server;multi-user	2	2.4%
Other values (17)	20	24.1%

Most occurring characters

Value	Count	Frequency (%)
e	156	13.2%
r	102	8.6%
t	100	8.5%
a	96	8.1%
i	72	6.1%
s	65	5.5%
;	60	5.1%
	56	4.7%
n	46	3.9%
c	44	3.7%
Other values (31)	385	32.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1182	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	156	13.2%
r	102	8.6%
t	100	8.5%
a	96	8.1%
i	72	6.1%
s	65	5.5%
;	60	5.1%
	56	4.7%
n	46	3.9%
c	44	3.7%
Other values (31)	385	32.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1182	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	156	13.2%
r	102	8.6%
t	100	8.5%
a	96	8.1%
i	72	6.1%
s	65	5.5%
;	60	5.1%
	56	4.7%
n	46	3.9%
c	44	3.7%
Other values (31)	385	32.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1182	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	156	13.2%
r	102	8.6%
t	100	8.5%
a	96	8.1%
i	72	6.1%
s	65	5.5%
;	60	5.1%
	56	4.7%
n	46	3.9%
c	44	3.7%
Other values (31)	385	32.6%

Tech (TF) - Type of Server
Unsupported

Missing Rejected Unsupported

Missing	84
Missing (%)	100.0%
Memory size	804.0 B

Tech (TF) - Web Development
Categorical

Constant Missing

Distinct	1
Distinct (%)	2.9%
Missing	50
Missing (%)	59.5%
Memory size	804.0 B

Web	34

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	102
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Web
2nd row	Web
3rd row	Web
4th row	Web
5th row	Web

Common Values

Value	Count	Frequency (%)
Web	34	40.5%
(Missing)	50	59.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
web	34	100.0%

Most occurring characters

Value	Count	Frequency (%)
W	34	33.3%
e	34	33.3%
b	34	33.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	102	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
W	34	33.3%
e	34	33.3%
b	34	33.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	102	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
W	34	33.3%
e	34	33.3%
b	34	33.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	102	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
W	34	33.3%
e	34	33.3%
b	34	33.3%

Tech (TF) - DBMS Used
Boolean

Constant Missing

Distinct	1
Distinct (%)	1.8%
Missing	27
Missing (%)	32.1%
Memory size	300.0 B

True	57
(Missing)	27

Value	Count	Frequency (%)
True	57	67.9%
(Missing)	27	32.1%

Tech (TF) - Tools Used
Real number (ℝ)

High correlation Zeros

Distinct	9
Distinct (%)	10.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.9880952

Minimum	0
Maximum	9
Zeros	28
Zeros (%)	33.3%
Negative	0
Negative (%)	0.0%
Memory size	804.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	2
Q3	3
95-th percentile	5
Maximum	9
Range	9
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.916913
Coefficient of variation (CV)	0.96419575
Kurtosis	1.4674763
Mean	1.9880952
Median Absolute Deviation (MAD)	2
Skewness	1.0686451
Sum	167
Variance	3.6745554
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
2	32	38.1%
0	28	33.3%
4	14	16.7%
3	2	2.4%
7	2	2.4%
5	2	2.4%
1	2	2.4%
6	1	1.2%
9	1	1.2%

Value	Count	Frequency (%)
0	28	33.3%
1	2	2.4%
2	32	38.1%
3	2	2.4%
4	14	16.7%
5	2	2.4%
6	1	1.2%
7	2	2.4%
9	1	1.2%

Value	Count	Frequency (%)
9	1	1.2%
7	2	2.4%
6	1	1.2%
5	2	2.4%
4	14	16.7%
3	2	2.4%
2	32	38.1%
1	2	2.4%
0	28	33.3%

People (PRF) - Project user involvement
Unsupported

Missing Rejected Unsupported

Missing	84
Missing (%)	100.0%
Memory size	804.0 B

People (PRF) - BA team experience <1 yr
Real number (ℝ)

High correlation Missing Zeros

Distinct	8
Distinct (%)	53.3%
Missing	69
Missing (%)	82.1%
Infinite	0
Infinite (%)	0.0%
Mean	2.4666667

Minimum	0
Maximum	11
Zeros	7
Zeros (%)	8.3%
Negative	0
Negative (%)	0.0%
Memory size	804.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	4
95-th percentile	8.9
Maximum	11
Range	11
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.4819261
Coefficient of variation (CV)	1.4115917
Kurtosis	1.2438937
Mean	2.4666667
Median Absolute Deviation (MAD)	1
Skewness	1.4444557
Sum	37
Variance	12.12381
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	7	8.3%
1	2	2.4%
3	1	1.2%
8	1	1.2%
5	1	1.2%
6	1	1.2%
2	1	1.2%
11	1	1.2%
(Missing)	69	82.1%

Value	Count	Frequency (%)
0	7	8.3%
1	2	2.4%
2	1	1.2%
3	1	1.2%
5	1	1.2%
6	1	1.2%
8	1	1.2%
11	1	1.2%

Value	Count	Frequency (%)
11	1	1.2%
8	1	1.2%
6	1	1.2%
5	1	1.2%
3	1	1.2%
2	1	1.2%
1	2	2.4%
0	7	8.3%

People (PRF) - BA team experience 1 to 3 yr
Real number (ℝ)

High correlation Missing Zeros

Distinct	8
Distinct (%)	44.4%
Missing	66
Missing (%)	78.6%
Infinite	0
Infinite (%)	0.0%
Mean	3.7777778

Minimum	0
Maximum	32
Zeros	6
Zeros (%)	7.1%
Negative	0
Negative (%)	0.0%
Memory size	804.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1.5
Q3	4
95-th percentile	11.6
Maximum	32
Range	32
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	7.4087036
Coefficient of variation (CV)	1.9611274
Kurtosis	14.086702
Mean	3.7777778
Median Absolute Deviation (MAD)	1.5
Skewness	3.6058929
Sum	68
Variance	54.888889
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	6	7.1%
1	3	3.6%
5	2	2.4%
2	2	2.4%
4	2	2.4%
3	1	1.2%
8	1	1.2%
32	1	1.2%
(Missing)	66	78.6%

Value	Count	Frequency (%)
0	6	7.1%
1	3	3.6%
2	2	2.4%
3	1	1.2%
4	2	2.4%
5	2	2.4%
8	1	1.2%
32	1	1.2%

Value	Count	Frequency (%)
32	1	1.2%
8	1	1.2%
5	2	2.4%
4	2	2.4%
3	1	1.2%
2	2	2.4%
1	3	3.6%
0	6	7.1%

People (PRF) - BA team experience >3 yr
Real number (ℝ)

High correlation Missing Zeros

Distinct	9
Distinct (%)	52.9%
Missing	67
Missing (%)	79.8%
Infinite	0
Infinite (%)	0.0%
Mean	4.5882353

Minimum	0
Maximum	25
Zeros	3
Zeros (%)	3.6%
Negative	0
Negative (%)	0.0%
Memory size	804.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	5
95-th percentile	17.8
Maximum	25
Range	25
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	6.605479
Coefficient of variation (CV)	1.4396557
Kurtosis	5.5668843
Mean	4.5882353
Median Absolute Deviation (MAD)	2
Skewness	2.3354237
Sum	78
Variance	43.632353
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
1	4	4.8%
0	3	3.6%
2	3	3.6%
5	2	2.4%
16	1	1.2%
3	1	1.2%
8	1	1.2%
25	1	1.2%
6	1	1.2%
(Missing)	67	79.8%

Value	Count	Frequency (%)
0	3	3.6%
1	4	4.8%
2	3	3.6%
3	1	1.2%
5	2	2.4%
6	1	1.2%
8	1	1.2%
16	1	1.2%
25	1	1.2%

Value	Count	Frequency (%)
25	1	1.2%
16	1	1.2%
8	1	1.2%
6	1	1.2%
5	2	2.4%
3	1	1.2%
2	3	3.6%
1	4	4.8%
0	3	3.6%

People (PRF) - IT experience <1 yr
Unsupported

Missing Rejected Unsupported

Missing	84
Missing (%)	100.0%
Memory size	804.0 B

People (PRF) - IT experience 1 to 3 yr
Unsupported

Missing Rejected Unsupported

Missing	84
Missing (%)	100.0%
Memory size	804.0 B

People (PRF) - IT experience >3 yr
Unsupported

Missing Rejected Unsupported

Missing	84
Missing (%)	100.0%
Memory size	804.0 B

People (PRF) - IT experience <3 yr
Real number (ℝ)

High correlation Missing Zeros

Distinct	8
Distinct (%)	34.8%
Missing	61
Missing (%)	72.6%
Infinite	0
Infinite (%)	0.0%
Mean	3.8695652

Minimum	0
Maximum	22
Zeros	6
Zeros (%)	7.1%
Negative	0
Negative (%)	0.0%
Memory size	804.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.5
median	2
Q3	5
95-th percentile	16.1
Maximum	22
Range	22
Interquartile range (IQR)	4.5

Descriptive statistics

Standard deviation	5.4880395
Coefficient of variation (CV)	1.4182574
Kurtosis	5.7485705
Mean	3.8695652
Median Absolute Deviation (MAD)	2
Skewness	2.3559739
Sum	89
Variance	30.118577
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	6	7.1%
1	5	6.0%
5	5	6.0%
2	2	2.4%
4	2	2.4%
22	1	1.2%
8	1	1.2%
17	1	1.2%
(Missing)	61	72.6%

Value	Count	Frequency (%)
0	6	7.1%
1	5	6.0%
2	2	2.4%
4	2	2.4%
5	5	6.0%
8	1	1.2%
17	1	1.2%
22	1	1.2%

Value	Count	Frequency (%)
22	1	1.2%
17	1	1.2%
8	1	1.2%
5	5	6.0%
4	2	2.4%
2	2	2.4%
1	5	6.0%
0	6	7.1%

People (PRF) - IT experience 3 to 9 yr
Real number (ℝ)

High correlation Missing Zeros

Distinct	9
Distinct (%)	42.9%
Missing	63
Missing (%)	75.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.5238095

Minimum	0
Maximum	33
Zeros	3
Zeros (%)	3.6%
Negative	0
Negative (%)	0.0%
Memory size	804.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	4
Q3	5
95-th percentile	24
Maximum	33
Range	33
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	8.0163523
Coefficient of variation (CV)	1.4512362
Kurtosis	7.7852361
Mean	5.5238095
Median Absolute Deviation (MAD)	2
Skewness	2.8113271
Sum	116
Variance	64.261905
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
2	5	6.0%
5	3	3.6%
0	3	3.6%
6	3	3.6%
4	3	3.6%
3	1	1.2%
1	1	1.2%
24	1	1.2%
33	1	1.2%
(Missing)	63	75.0%

Value	Count	Frequency (%)
0	3	3.6%
1	1	1.2%
2	5	6.0%
3	1	1.2%
4	3	3.6%
5	3	3.6%
6	3	3.6%
24	1	1.2%
33	1	1.2%

Value	Count	Frequency (%)
33	1	1.2%
24	1	1.2%
6	3	3.6%
5	3	3.6%
4	3	3.6%
3	1	1.2%
2	5	6.0%
1	1	1.2%
0	3	3.6%

People (PRF) - IT experience >9 yr
Real number (ℝ)

High correlation Missing Zeros

Distinct	7
Distinct (%)	41.2%
Missing	67
Missing (%)	79.8%
Infinite	0
Infinite (%)	0.0%
Mean	4.3529412

Minimum	0
Maximum	24
Zeros	2
Zeros (%)	2.4%
Negative	0
Negative (%)	0.0%
Memory size	804.0 B

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	4
95-th percentile	19.2
Maximum	24
Range	24
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	6.5186384
Coefficient of variation (CV)	1.497525
Kurtosis	5.678973
Mean	4.3529412
Median Absolute Deviation (MAD)	2
Skewness	2.4915896
Sum	74
Variance	42.492647
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
4	5	6.0%
1	5	6.0%
0	2	2.4%
2	2	2.4%
24	1	1.2%
3	1	1.2%
18	1	1.2%
(Missing)	67	79.8%

Value	Count	Frequency (%)
0	2	2.4%
1	5	6.0%
2	2	2.4%
3	1	1.2%
4	5	6.0%
18	1	1.2%
24	1	1.2%

Value	Count	Frequency (%)
24	1	1.2%
18	1	1.2%
4	5	6.0%
3	1	1.2%
2	2	2.4%
1	5	6.0%
0	2	2.4%

People (PRF) - Project manage experience
Real number (ℝ)

High correlation Missing

Distinct	12
Distinct (%)	63.2%
Missing	65
Missing (%)	77.4%
Infinite	0
Infinite (%)	0.0%
Mean	22.210526

Minimum	1
Maximum	200
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	804.0 B

Quantile statistics

Minimum	1
5-th percentile	2.8
Q1	3
median	8
Q3	17.5
95-th percentile	60.5
Maximum	200
Range	199
Interquartile range (IQR)	14.5

Descriptive statistics

Standard deviation	45.036502
Coefficient of variation (CV)	2.0277098
Kurtosis	15.310619
Mean	22.210526
Median Absolute Deviation (MAD)	5
Skewness	3.7890082
Sum	422
Variance	2028.2865
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
3	6	7.1%
5	2	2.4%
45	2	2.4%
1	1	1.2%
10	1	1.2%
20	1	1.2%
200	1	1.2%
12	1	1.2%
25	1	1.2%
8	1	1.2%
Other values (2)	2	2.4%
(Missing)	65	77.4%

Value	Count	Frequency (%)
1	1	1.2%
3	6	7.1%
5	2	2.4%
8	1	1.2%
10	1	1.2%
12	1	1.2%
13	1	1.2%
15	1	1.2%
20	1	1.2%
25	1	1.2%

Value	Count	Frequency (%)
200	1	1.2%
45	2	2.4%
25	1	1.2%
20	1	1.2%
15	1	1.2%
13	1	1.2%
12	1	1.2%
10	1	1.2%
8	1	1.2%
5	2	2.4%

People (PRF) - Project manage changes
Categorical

High correlation Imbalance Missing

Distinct	3
Distinct (%)	9.4%
Missing	52
Missing (%)	61.9%
Memory size	804.0 B

0.0	27
1.0	4
2.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	96
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	3.1%

Sample

1st row	0.0
2nd row	1.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	27	32.1%
1.0	4	4.8%
2.0	1	1.2%
(Missing)	52	61.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	27	84.4%
1.0	4	12.5%
2.0	1	3.1%

Most occurring characters

Value	Count	Frequency (%)
0	59	61.5%
.	32	33.3%
1	4	4.2%
2	1	1.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	96	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	59	61.5%
.	32	33.3%
1	4	4.2%
2	1	1.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	96	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	59	61.5%
.	32	33.3%
1	4	4.2%
2	1	1.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	96	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	59	61.5%
.	32	33.3%
1	4	4.2%
2	1	1.0%

People (PRF) - Personnel changes
Categorical

High correlation Missing

Distinct	5
Distinct (%)	15.6%
Missing	52
Missing (%)	61.9%
Memory size	804.0 B

0.0	22
1.0	6
2.0	2
3.0	1
12.0	1

Length

Max length	4
Median length	3
Mean length	3.03125
Min length	3

Characters and Unicode

Total characters	97
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	6.2%

Sample

1st row	3.0
2nd row	0.0
3rd row	1.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	22	26.2%
1.0	6	7.1%
2.0	2	2.4%
3.0	1	1.2%
12.0	1	1.2%
(Missing)	52	61.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	22	68.8%
1.0	6	18.8%
2.0	2	6.2%
3.0	1	3.1%
12.0	1	3.1%

Most occurring characters

Value	Count	Frequency (%)
0	54	55.7%
.	32	33.0%
1	7	7.2%
2	3	3.1%
3	1	1.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	97	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	54	55.7%
.	32	33.0%
1	7	7.2%
2	3	3.1%
3	1	1.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	97	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	54	55.7%
.	32	33.0%
1	7	7.2%
2	3	3.1%
3	1	1.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	97	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	54	55.7%
.	32	33.0%
1	7	7.2%
2	3	3.1%
3	1	1.0%

Project (PRF) - Total project cost
Real number (ℝ)

High correlation Missing

Distinct	28
Distinct (%)	96.6%
Missing	55
Missing (%)	65.5%
Infinite	0
Infinite (%)	0.0%
Mean	106224.72

Minimum	4871
Maximum	765000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	804.0 B

Quantile statistics

Minimum	4871
5-th percentile	8136.4
Q1	15680
median	57035
Q3	81500
95-th percentile	569800
Maximum	765000
Range	760129
Interquartile range (IQR)	65820

Descriptive statistics

Standard deviation	189999.23
Coefficient of variation (CV)	1.7886535
Kurtosis	9.5003343
Mean	106224.72
Median Absolute Deviation (MAD)	39875
Skewness	3.1729432
Sum	3080517
Variance	3.6099707 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
765000	2	2.4%
90300	1	1.2%
15680	1	1.2%
68200	1	1.2%
7644	1	1.2%
31465	1	1.2%
120600	1	1.2%
70600	1	1.2%
10180	1	1.2%
30300	1	1.2%
Other values (18)	18	21.4%
(Missing)	55	65.5%

Value	Count	Frequency (%)
4871	1	1.2%
7644	1	1.2%
8875	1	1.2%
10180	1	1.2%
13880	1	1.2%
14723	1	1.2%
15281	1	1.2%
15680	1	1.2%
17160	1	1.2%
30300	1	1.2%

Value	Count	Frequency (%)
765000	2	2.4%
277000	1	1.2%
120600	1	1.2%
104200	1	1.2%
100200	1	1.2%
90300	1	1.2%
81500	1	1.2%
70600	1	1.2%
69850	1	1.2%
68200	1	1.2%

Project (PRF) - Cost currency
Categorical

High correlation Missing

Distinct	3
Distinct (%)	10.0%
Missing	54
Missing (%)	64.3%
Memory size	804.0 B

European, euro	16
Canada, dollar	13
United States, dollar	1

Length

Max length	21
Median length	14
Mean length	14.233333
Min length	14

Characters and Unicode

Total characters	427
Distinct characters	18
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	3.3%

Sample

1st row	European, euro
2nd row	European, euro
3rd row	European, euro
4th row	Canada, dollar
5th row	Canada, dollar

Common Values

Value	Count	Frequency (%)
European, euro	16	19.0%
Canada, dollar	13	15.5%
United States, dollar	1	1.2%
(Missing)	54	64.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
european	16	26.2%
euro	16	26.2%
dollar	14	23.0%
canada	13	21.3%
united	1	1.6%
states	1	1.6%

Most occurring characters

Value	Count	Frequency (%)
a	70	16.4%
r	46	10.8%
o	46	10.8%
e	34	8.0%
u	32	7.5%
	31	7.3%
n	30	7.0%
,	30	7.0%
d	28	6.6%
l	28	6.6%
Other values (8)	52	12.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	427	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	70	16.4%
r	46	10.8%
o	46	10.8%
e	34	8.0%
u	32	7.5%
	31	7.3%
n	30	7.0%
,	30	7.0%
d	28	6.6%
l	28	6.6%
Other values (8)	52	12.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	427	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	70	16.4%
r	46	10.8%
o	46	10.8%
e	34	8.0%
u	32	7.5%
	31	7.3%
n	30	7.0%
,	30	7.0%
d	28	6.6%
l	28	6.6%
Other values (8)	52	12.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	427	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	70	16.4%
r	46	10.8%
o	46	10.8%
e	34	8.0%
u	32	7.5%
	31	7.3%
n	30	7.0%
,	30	7.0%
d	28	6.6%
l	28	6.6%
Other values (8)	52	12.2%

Project (PRF) - Currency multiple
Categorical

High correlation Missing

Distinct	2
Distinct (%)	11.1%
Missing	66
Missing (%)	78.6%
Memory size	804.0 B

No	16
Yes 10,000	2

Length

Max length	10
Median length	2
Mean length	2.8888889
Min length	2

Characters and Unicode

Total characters	52
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	16	19.0%
Yes 10,000	2	2.4%
(Missing)	66	78.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
no	16	80.0%
yes	2	10.0%
10,000	2	10.0%

Most occurring characters

Value	Count	Frequency (%)
N	16	30.8%
o	16	30.8%
0	8	15.4%
Y	2	3.8%
e	2	3.8%
s	2	3.8%
	2	3.8%
1	2	3.8%
,	2	3.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	52	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
N	16	30.8%
o	16	30.8%
0	8	15.4%
Y	2	3.8%
e	2	3.8%
s	2	3.8%
	2	3.8%
1	2	3.8%
,	2	3.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	52	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
N	16	30.8%
o	16	30.8%
0	8	15.4%
Y	2	3.8%
e	2	3.8%
s	2	3.8%
	2	3.8%
1	2	3.8%
,	2	3.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	52	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
N	16	30.8%
o	16	30.8%
0	8	15.4%
Y	2	3.8%
e	2	3.8%
s	2	3.8%
	2	3.8%
1	2	3.8%
,	2	3.8%

Interactions

Correlations

	- CASE Tool Used	External (EEF) - Data Quality Rating	External (EEF) - Industry Sector	External (EEF) - Organisation Type	ISBSG Project ID	People (PRF) - BA team experience 1 to 3 yr	People (PRF) - BA team experience <1 yr	People (PRF) - BA team experience >3 yr	People (PRF) - IT experience 3 to 9 yr	People (PRF) - IT experience <3 yr	People (PRF) - IT experience >9 yr	People (PRF) - Personnel changes	People (PRF) - Project manage changes	People (PRF) - Project manage experience	Process (PMF) - Development Methodologies	Process (PMF) - Docs	Project (PRF) - Application Group	Project (PRF) - Application Type	Project (PRF) - Cost currency	Project (PRF) - Currency multiple	Project (PRF) - Defect Density	Project (PRF) - Development Type	Project (PRF) - Functional Size	Project (PRF) - Manpower Delivery Rate	Project (PRF) - Max Team Size	Project (PRF) - Normalised Level 1 PDR (ufp)	Project (PRF) - Normalised PDR (ufp)	Project (PRF) - Normalised Work Effort	Project (PRF) - Normalised Work Effort Level 1	Project (PRF) - Project Elapsed Time	Project (PRF) - Relative Size	Project (PRF) - Speed of Delivery	Project (PRF) - Team Size Group	Project (PRF) - Total project cost	Project (PRF) - Year of Project	Tech (TF) - Architecture	Tech (TF) - Client Roles	Tech (TF) - Client Server?	Tech (TF) - Development Platform	Tech (TF) - Language Type	Tech (TF) - Primary Programming Language	Tech (TF) - Server Roles	Tech (TF) - Tools Used
- CASE Tool Used	1.000	0.231	0.596	0.211	0.000	0.000	0.000	0.000	0.204	0.170	0.340	0.412	0.000	0.334	0.182	0.000	0.334	0.378	0.000	1.000	0.351	0.380	0.267	0.000	0.000	0.412	0.412	0.000	0.116	0.000	0.395	0.101	0.120	0.707	0.765	0.000	0.327	0.000	0.612	0.000	0.375	0.667	0.756
External (EEF) - Data Quality Rating	0.231	1.000	0.435	0.699	0.000	0.000	0.000	0.000	0.589	0.406	0.000	0.250	0.000	0.000	0.858	0.653	0.000	0.806	0.895	0.734	0.000	0.215	0.809	0.981	0.552	0.159	0.159	0.546	0.372	0.438	0.742	0.763	0.534	0.746	0.481	0.351	0.563	0.544	0.213	0.151	0.239	0.335	0.800
External (EEF) - Industry Sector	0.596	0.435	1.000	0.899	0.000	0.440	0.148	0.369	0.505	0.435	0.472	0.496	0.192	0.580	0.403	0.493	0.502	0.840	0.962	0.000	0.264	0.584	0.386	0.442	0.653	0.000	0.000	0.393	0.382	0.555	0.376	0.278	0.615	0.589	0.547	0.732	0.796	0.000	0.451	0.680	0.485	0.808	0.564
External (EEF) - Organisation Type	0.211	0.699	0.899	1.000	0.000	0.538	0.000	0.593	0.393	0.365	0.565	0.530	0.557	0.000	0.726	0.800	0.415	0.885	0.943	0.000	0.646	0.628	0.666	0.861	0.735	0.000	0.000	0.619	0.627	0.708	0.513	0.642	0.704	0.554	0.682	0.768	0.776	0.647	0.581	0.794	0.785	0.695	0.552
ISBSG Project ID	0.000	0.000	0.000	0.000	1.000	0.209	-0.262	0.007	0.296	0.334	-0.151	0.158	0.000	0.393	0.048	0.141	0.050	0.000	0.000	0.000	-0.174	0.223	0.099	0.219	-0.051	-0.111	-0.113	-0.028	-0.028	-0.024	0.137	0.062	0.000	0.185	-0.132	0.000	0.000	0.000	0.089	0.068	0.000	0.000	0.131
People (PRF) - BA team experience 1 to 3 yr	0.000	0.000	0.440	0.538	0.209	1.000	-0.046	0.773	0.366	0.134	0.607	0.405	0.243	0.538	0.467	-0.089	0.000	0.467	0.000	1.000	0.186	0.000	0.188	-0.296	0.475	0.143	0.143	0.404	0.404	0.550	0.214	0.101	0.556	-1.000	-0.323	0.000	0.508	0.326	0.241	0.935	0.744	0.471	-0.208
People (PRF) - BA team experience <1 yr	0.000	0.000	0.148	0.000	-0.262	-0.046	1.000	-0.017	-0.009	0.663	0.462	0.613	0.697	-0.042	0.358	-0.227	0.357	0.000	1.000	1.000	0.455	0.000	0.034	-0.359	0.310	0.241	0.241	0.117	0.117	0.201	0.000	0.031	0.000	NaN	-0.313	0.000	0.257	0.251	0.000	1.000	0.319	0.118	-0.088
People (PRF) - BA team experience >3 yr	0.000	0.000	0.369	0.593	0.007	0.773	-0.017	1.000	0.353	-0.109	0.680	0.456	0.621	0.199	0.525	-0.040	0.000	0.000	0.000	0.000	0.167	0.000	0.203	-0.239	0.447	0.133	0.133	0.470	0.436	0.353	0.000	0.125	0.448	0.943	-0.106	0.000	0.526	0.000	0.382	0.000	0.573	0.408	-0.147
People (PRF) - IT experience 3 to 9 yr	0.204	0.589	0.505	0.393	0.296	0.366	-0.009	0.353	1.000	0.101	0.229	0.617	0.264	0.213	0.754	-0.119	0.000	0.520	0.000	1.000	-0.051	0.000	0.334	-0.081	0.658	0.284	0.284	0.473	0.473	0.135	0.504	0.370	0.736	-0.147	-0.600	0.000	0.474	0.187	0.000	1.000	0.269	0.623	0.058
People (PRF) - IT experience <3 yr	0.170	0.406	0.435	0.365	0.334	0.134	0.663	-0.109	0.101	1.000	0.102	0.477	0.000	0.072	0.655	-0.007	0.000	0.463	0.204	1.000	0.233	0.279	0.259	0.273	0.233	-0.079	-0.079	0.094	0.105	-0.160	0.329	0.387	0.692	-0.073	-0.511	0.415	0.408	0.279	0.401	0.900	0.481	0.463	0.223
People (PRF) - IT experience >9 yr	0.340	0.000	0.472	0.565	-0.151	0.607	0.462	0.680	0.229	0.102	1.000	0.587	0.711	0.199	0.745	-0.104	0.000	0.107	0.000	0.000	0.451	0.157	0.123	-0.483	0.527	0.211	0.211	0.359	0.341	0.477	0.000	-0.039	0.760	0.943	-0.301	0.000	0.610	0.000	0.344	0.000	0.473	0.573	-0.300
People (PRF) - Personnel changes	0.412	0.250	0.496	0.530	0.158	0.405	0.613	0.456	0.617	0.477	0.587	1.000	0.550	0.160	0.638	0.000	0.125	0.539	0.723	0.000	0.000	0.438	0.610	0.000	0.645	0.400	0.400	0.610	0.513	0.361	0.537	0.346	0.599	0.961	0.286	0.117	0.603	0.000	0.168	0.419	0.281	0.476	0.594
People (PRF) - Project manage changes	0.000	0.000	0.192	0.557	0.000	0.243	0.697	0.621	0.264	0.000	0.711	0.550	1.000	0.000	0.674	0.120	0.248	0.359	1.000	1.000	0.000	0.402	0.495	0.000	0.496	0.080	0.080	0.495	0.502	0.515	0.000	0.000	0.454	1.000	0.000	0.000	0.747	0.000	0.000	0.000	0.000	0.498	0.245
People (PRF) - Project manage experience	0.334	0.000	0.580	0.000	0.393	0.538	-0.042	0.199	0.213	0.072	0.199	0.160	0.000	1.000	0.000	-0.066	0.770	0.577	0.500	0.707	-0.017	0.502	0.342	0.368	0.136	-0.292	-0.292	0.157	0.152	-0.052	0.000	0.275	0.000	0.778	-0.295	0.050	0.707	0.000	0.170	0.701	0.171	0.615	-0.305
Process (PMF) - Development Methodologies	0.182	0.858	0.403	0.726	0.048	0.467	0.358	0.525	0.754	0.655	0.745	0.638	0.674	0.000	1.000	0.490	0.000	0.796	0.911	0.000	0.127	0.313	0.872	0.938	0.852	0.170	0.170	0.864	0.827	0.516	0.592	0.722	0.639	0.578	0.454	0.446	0.629	0.283	0.556	0.000	0.218	0.661	0.588
Process (PMF) - Docs	0.000	0.653	0.493	0.800	0.141	-0.089	-0.227	-0.040	-0.119	-0.007	-0.104	0.000	0.120	-0.066	0.490	1.000	0.000	0.833	0.914	0.935	0.614	0.502	0.377	0.634	0.615	0.019	0.030	0.179	0.164	0.306	0.395	-0.057	0.505	-0.430	-0.598	0.445	0.766	0.599	0.202	0.610	0.431	0.353	0.832
Project (PRF) - Application Group	0.334	0.000	0.502	0.415	0.050	0.000	0.357	0.000	0.000	0.000	0.000	0.125	0.248	0.770	0.000	0.000	1.000	0.825	0.000	0.697	0.000	0.329	0.000	0.000	0.000	0.000	0.000	0.173	0.359	0.353	0.197	0.000	0.000	0.962	0.468	0.408	0.586	0.000	0.000	0.121	0.233	0.758	0.714
Project (PRF) - Application Type	0.378	0.806	0.840	0.885	0.000	0.467	0.000	0.000	0.520	0.463	0.107	0.539	0.359	0.577	0.796	0.833	0.825	1.000	0.923	0.935	0.602	0.730	0.773	0.828	0.790	0.000	0.000	0.747	0.738	0.735	0.580	0.584	0.738	0.789	0.719	0.775	0.901	0.683	0.775	0.801	0.713	0.842	0.833
Project (PRF) - Cost currency	0.000	0.895	0.962	0.943	0.000	0.000	1.000	0.000	0.000	0.204	0.000	0.723	1.000	0.500	0.911	0.914	0.000	0.923	1.000	0.000	0.655	0.584	0.698	0.964	0.000	0.000	0.000	1.000	1.000	0.526	0.808	0.716	0.920	0.747	0.943	0.355	0.000	0.603	1.000	0.982	0.798	0.913	0.943
Project (PRF) - Currency multiple	1.000	0.734	0.000	0.000	0.000	1.000	1.000	0.000	1.000	1.000	0.000	0.000	1.000	0.707	0.000	0.935	0.697	0.935	0.000	1.000	1.000	0.734	0.000	0.000	0.000	0.000	0.000	1.000	1.000	0.734	0.593	0.000	0.707	0.931	0.901	0.707	0.000	0.000	1.000	0.000	0.088	0.000	0.935
Project (PRF) - Defect Density	0.351	0.000	0.264	0.646	-0.174	0.186	0.455	0.167	-0.051	0.233	0.451	0.000	0.000	-0.017	0.127	0.614	0.000	0.602	0.655	1.000	1.000	0.371	0.214	-0.057	-0.049	-0.206	-0.205	0.018	0.017	0.582	0.000	-0.262	0.000	-0.038	-0.371	0.000	0.000	0.436	0.107	0.517	0.389	0.000	0.395
Project (PRF) - Development Type	0.380	0.215	0.584	0.628	0.223	0.000	0.000	0.000	0.000	0.279	0.157	0.438	0.402	0.502	0.313	0.502	0.329	0.730	0.584	0.734	0.371	1.000	0.059	0.000	0.000	0.000	0.000	0.000	0.000	0.557	0.533	0.000	0.409	0.435	0.530	0.439	0.754	0.000	0.324	0.334	0.477	0.747	0.452
Project (PRF) - Functional Size	0.267	0.809	0.386	0.666	0.099	0.188	0.034	0.203	0.334	0.259	0.123	0.610	0.495	0.342	0.872	0.377	0.000	0.773	0.698	0.000	0.214	0.059	1.000	0.732	0.806	-0.085	-0.092	0.633	0.609	-0.209	0.739	0.787	0.712	-0.140	-0.610	0.167	0.681	0.336	0.000	0.000	0.000	0.504	0.174
Project (PRF) - Manpower Delivery Rate	0.000	0.981	0.442	0.861	0.219	-0.296	-0.359	-0.239	-0.081	0.273	-0.483	0.000	0.000	0.368	0.938	0.634	0.000	0.828	0.964	0.000	-0.057	0.000	0.732	1.000	0.414	-0.188	-0.183	0.478	0.387	-0.796	0.953	0.864	0.000	0.644	-0.386	0.000	1.000	0.160	0.000	0.000	0.000	1.000	0.287
Project (PRF) - Max Team Size	0.000	0.552	0.653	0.735	-0.051	0.475	0.310	0.447	0.658	0.233	0.527	0.645	0.496	0.136	0.852	0.615	0.000	0.790	0.000	0.000	-0.049	0.000	0.806	0.414	1.000	0.635	0.636	0.900	0.866	-0.306	0.490	0.737	0.822	-0.425	-0.809	0.422	0.709	0.000	0.682	0.257	0.372	0.553	0.387
Project (PRF) - Normalised Level 1 PDR (ufp)	0.412	0.159	0.000	0.000	-0.111	0.143	0.241	0.133	0.284	-0.079	0.211	0.400	0.080	-0.292	0.170	0.019	0.000	0.000	0.000	0.000	-0.206	0.000	-0.085	-0.188	0.635	1.000	0.998	0.653	0.683	-0.128	0.193	-0.011	0.531	0.277	-0.020	0.459	0.615	0.000	0.664	0.243	0.299	0.510	0.147
Project (PRF) - Normalised PDR (ufp)	0.412	0.159	0.000	0.000	-0.113	0.143	0.241	0.133	0.284	-0.079	0.211	0.400	0.080	-0.292	0.170	0.030	0.000	0.000	0.000	0.000	-0.205	0.000	-0.092	-0.183	0.636	0.998	1.000	0.654	0.675	-0.131	0.193	-0.016	0.531	0.277	-0.001	0.459	0.615	0.000	0.664	0.243	0.299	0.510	0.144
Project (PRF) - Normalised Work Effort	0.000	0.546	0.393	0.619	-0.028	0.404	0.117	0.470	0.473	0.094	0.359	0.610	0.495	0.157	0.864	0.179	0.173	0.747	1.000	1.000	0.018	0.000	0.633	0.478	0.900	0.653	0.654	1.000	0.990	-0.272	0.497	0.572	0.744	0.665	-0.365	0.490	0.631	0.000	0.450	0.000	0.194	0.403	0.092
Project (PRF) - Normalised Work Effort Level 1	0.116	0.372	0.382	0.627	-0.028	0.404	0.117	0.436	0.473	0.105	0.341	0.513	0.502	0.152	0.827	0.164	0.359	0.738	1.000	1.000	0.017	0.000	0.609	0.387	0.866	0.683	0.675	0.990	1.000	-0.241	0.612	0.545	0.717	0.651	-0.391	0.437	0.696	0.000	0.434	0.000	0.124	0.489	0.122
Project (PRF) - Project Elapsed Time	0.000	0.438	0.555	0.708	-0.024	0.550	0.201	0.353	0.135	-0.160	0.477	0.361	0.515	-0.052	0.516	0.306	0.353	0.735	0.526	0.734	0.582	0.557	-0.209	-0.796	-0.306	-0.128	-0.131	-0.272	-0.241	1.000	0.406	-0.687	0.598	-0.346	-0.229	0.682	0.724	0.170	0.598	0.483	0.481	0.719	0.455
Project (PRF) - Relative Size	0.395	0.742	0.376	0.513	0.137	0.214	0.000	0.000	0.504	0.329	0.000	0.537	0.000	0.000	0.592	0.395	0.197	0.580	0.808	0.593	0.000	0.533	0.739	0.953	0.490	0.193	0.193	0.497	0.612	0.406	1.000	0.702	0.565	0.786	0.480	0.495	0.480	0.578	0.213	0.284	0.225	0.510	0.543
Project (PRF) - Speed of Delivery	0.101	0.763	0.278	0.642	0.062	0.101	0.031	0.125	0.370	0.387	-0.039	0.346	0.000	0.275	0.722	-0.057	0.000	0.584	0.716	0.000	-0.262	0.000	0.787	0.864	0.737	-0.011	-0.016	0.572	0.545	-0.687	0.702	1.000	0.633	0.225	-0.217	0.000	0.000	0.405	0.000	0.105	0.000	0.000	-0.192
Project (PRF) - Team Size Group	0.120	0.534	0.615	0.704	0.000	0.556	0.000	0.448	0.736	0.692	0.760	0.599	0.454	0.000	0.639	0.505	0.000	0.738	0.920	0.707	0.000	0.409	0.712	0.000	0.822	0.531	0.531	0.744	0.717	0.598	0.565	0.633	1.000	0.957	0.515	0.618	0.629	0.345	0.572	0.400	0.469	0.492	0.563
Project (PRF) - Total project cost	0.707	0.746	0.589	0.554	0.185	-1.000	NaN	0.943	-0.147	-0.073	0.943	0.961	1.000	0.778	0.578	-0.430	0.962	0.789	0.747	0.931	-0.038	0.435	-0.140	0.644	-0.425	0.277	0.277	0.665	0.651	-0.346	0.786	0.225	0.957	1.000	0.687	0.595	1.000	0.595	1.000	0.427	0.714	0.953	-0.519
Project (PRF) - Year of Project	0.765	0.481	0.547	0.682	-0.132	-0.323	-0.313	-0.106	-0.600	-0.511	-0.301	0.286	0.000	-0.295	0.454	-0.598	0.468	0.719	0.943	0.901	-0.371	0.530	-0.610	-0.386	-0.809	-0.020	-0.001	-0.365	-0.391	-0.229	0.480	-0.217	0.515	0.687	1.000	0.514	0.683	0.359	0.473	0.770	0.488	0.655	-0.539
Tech (TF) - Architecture	0.000	0.351	0.732	0.768	0.000	0.000	0.000	0.000	0.000	0.415	0.000	0.117	0.000	0.050	0.446	0.445	0.408	0.775	0.355	0.707	0.000	0.439	0.167	0.000	0.422	0.459	0.459	0.490	0.437	0.682	0.495	0.000	0.618	0.595	0.514	1.000	0.744	0.983	0.387	0.317	0.601	0.616	0.499
Tech (TF) - Client Roles	0.327	0.563	0.796	0.776	0.000	0.508	0.257	0.526	0.474	0.408	0.610	0.603	0.747	0.707	0.629	0.766	0.586	0.901	0.000	0.000	0.000	0.754	0.681	1.000	0.709	0.615	0.615	0.631	0.696	0.724	0.480	0.000	0.629	1.000	0.683	0.744	1.000	1.000	0.778	0.049	0.684	0.809	0.705
Tech (TF) - Client Server?	0.000	0.544	0.000	0.647	0.000	0.326	0.251	0.000	0.187	0.279	0.000	0.000	0.000	0.000	0.283	0.599	0.000	0.683	0.603	0.000	0.436	0.000	0.336	0.160	0.000	0.000	0.000	0.000	0.000	0.170	0.578	0.405	0.345	0.595	0.359	0.983	1.000	1.000	0.000	0.000	0.555	1.000	0.314
Tech (TF) - Development Platform	0.612	0.213	0.451	0.581	0.089	0.241	0.000	0.382	0.000	0.401	0.344	0.168	0.000	0.170	0.556	0.202	0.000	0.775	1.000	1.000	0.107	0.324	0.000	0.000	0.682	0.664	0.664	0.450	0.434	0.598	0.213	0.000	0.572	1.000	0.473	0.387	0.778	0.000	1.000	0.773	0.859	0.739	0.467
Tech (TF) - Language Type	0.000	0.151	0.680	0.794	0.068	0.935	1.000	0.000	1.000	0.900	0.000	0.419	0.000	0.701	0.000	0.610	0.121	0.801	0.982	0.000	0.517	0.334	0.000	0.000	0.257	0.243	0.243	0.000	0.000	0.483	0.284	0.105	0.400	0.427	0.770	0.317	0.049	0.000	0.773	1.000	0.962	0.583	0.544
Tech (TF) - Primary Programming Language	0.375	0.239	0.485	0.785	0.000	0.744	0.319	0.573	0.269	0.481	0.473	0.281	0.000	0.171	0.218	0.431	0.233	0.713	0.798	0.088	0.389	0.477	0.000	0.000	0.372	0.299	0.299	0.194	0.124	0.481	0.225	0.000	0.469	0.714	0.488	0.601	0.684	0.555	0.859	0.962	1.000	0.667	0.338
Tech (TF) - Server Roles	0.667	0.335	0.808	0.695	0.000	0.471	0.118	0.408	0.623	0.463	0.573	0.476	0.498	0.615	0.661	0.353	0.758	0.842	0.913	0.000	0.000	0.747	0.504	1.000	0.553	0.510	0.510	0.403	0.489	0.719	0.510	0.000	0.492	0.953	0.655	0.616	0.809	1.000	0.739	0.583	0.667	1.000	0.714
Tech (TF) - Tools Used	0.756	0.800	0.564	0.552	0.131	-0.208	-0.088	-0.147	0.058	0.223	-0.300	0.594	0.245	-0.305	0.588	0.832	0.714	0.833	0.943	0.935	0.395	0.452	0.174	0.287	0.387	0.147	0.144	0.092	0.122	0.455	0.543	-0.192	0.563	-0.519	-0.539	0.499	0.705	0.314	0.467	0.544	0.338	0.714	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	ISBSG Project ID	External (EEF) - Data Quality Rating	Project (PRF) - Year of Project	External (EEF) - Industry Sector	External (EEF) - Organisation Type	Project (PRF) - Application Group	Project (PRF) - Application Type	Project (PRF) - Development Type	Tech (TF) - Development Platform	Tech (TF) - Language Type	Tech (TF) - Primary Programming Language	Project (PRF) - Functional Size	Project (PRF) - Relative Size	Project (PRF) - Normalised Work Effort Level 1	Project (PRF) - Normalised Work Effort	Project (PRF) - Normalised Level 1 PDR (ufp)	Project (PRF) - Normalised PDR (ufp)	Project (PRF) - Defect Density	Project (PRF) - Speed of Delivery	Project (PRF) - Manpower Delivery Rate	Project (PRF) - Project Elapsed Time	Project (PRF) - Team Size Group	Project (PRF) - Max Team Size	- CASE Tool Used	Process (PMF) - Development Methodologies	Process (PMF) - Prototyping Used	Process (PMF) - Docs	Tech (TF) - Architecture	Tech (TF) - Client Server?	Tech (TF) - Client Roles	Tech (TF) - Server Roles	Tech (TF) - Type of Server	Tech (TF) - Web Development	Tech (TF) - DBMS Used	Tech (TF) - Tools Used	People (PRF) - Project user involvement	People (PRF) - BA team experience <1 yr	People (PRF) - BA team experience 1 to 3 yr	People (PRF) - BA team experience >3 yr	People (PRF) - IT experience <1 yr	People (PRF) - IT experience 1 to 3 yr	People (PRF) - IT experience >3 yr	People (PRF) - IT experience <3 yr	People (PRF) - IT experience 3 to 9 yr	People (PRF) - IT experience >9 yr	People (PRF) - Project manage experience	People (PRF) - Project manage changes	People (PRF) - Personnel changes	Project (PRF) - Total project cost	Project (PRF) - Cost currency	Project (PRF) - Currency multiple
0	10279	B	2013	Banking	Government;Education Institution;Wholesale & Retail Trade;Transport & Storage;Communications;Medical and Health Care;Banking;	Business Application	Surveillance and security;	Enhancement	PC	3GL	C#	26.0	XS	52	52	2.0	2.0	NaN	2.2	2.2	12.0	1	1.0	NaN	Agile Development;	NaN	6	Stand alone	NaN	NaN	NaN	NaN	NaN	Yes	2	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1	10317	B	2015	Government	Government;	Business Application	Business Application;	Enhancement	NaN	4GL	.Net	8.0	XXS	816	816	102.0	102.0	0.0	7.3	NaN	1.1	NaN	NaN	NaN	Agile Development;	NaN	3	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	81500.0	European, euro	No
2	10572	B	2014	Government	Government;	Business Application	Business Application;	Enhancement	NaN	4GL	Oracle	85.0	S	774	774	9.1	9.1	0.0	212.5	NaN	0.4	NaN	NaN	NaN	Agile Development;	NaN	3	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	69850.0	European, euro	No
3	11278	A	2010	Service Industry	Community Services;	Business Application	Workflow support & management;Complex process control;	Enhancement	Multi	3GL	JavaScript	89.0	S	4036	4036	45.3	45.3	56.2	17.8	2.0	5.0	9-14	9.0	No	Agile Development;	NaN	16	Client server	Yes	Data entry & validation;Data retrieval & presentation;Web/HTML browser;	HTML/web server;Security/authentication;	NaN	NaN	Yes	2	NaN	3.0	1.0	5.0	NaN	NaN	NaN	0.0	5.0	4.0	3.0	0.0	3.0	NaN	NaN	NaN
4	11497	B	2012	Banking	Government;Education Institution;Wholesale & Retail Trade;Transport & Storage;Communications;Medical and Health Care;Banking;	Business Application	Surveillance and security;	Enhancement	PC	3GL	C#	31.0	S	88	88	2.8	2.8	NaN	2.6	2.6	12.0	1	1.0	NaN	Agile Development;	NaN	6	Stand alone	NaN	NaN	NaN	NaN	NaN	Yes	2	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
5	11509	B	2012	Communication	Telecommunications;	Real-Time Application	Online analysis and reporting;Embedded software - simple device control;Telecom & network management;	Enhancement	Multi	3GL	C++	204.0	M1	7805	7805	38.3	38.3	0.0	29.1	3.6	7.0	5-8	8.0	NaN	NaN	NaN	6	Multi-tier	NaN	NaN	NaN	NaN	NaN	Yes	2	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
6	11738	B	2012	Banking	Government;Education Institution;Wholesale & Retail Trade;Transport & Storage;Communications;Medical and Health Care;Banking;	Business Application	Surveillance and security;	Enhancement	PC	3GL	C#	10.0	XS	29	29	2.9	2.9	NaN	0.8	0.8	12.0	1	1.0	NaN	Agile Development;	NaN	6	Stand alone	NaN	NaN	NaN	NaN	NaN	Yes	2	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
7	11801	A	2009	Government	Government;	NaN	IdM;	Enhancement	Multi	3GL	C#	63.0	S	2742	2742	43.5	43.5	47.6	6.3	0.8	10.0	5-8	8.0	NaN	Agile Development;	NaN	18	Multi-tier with web public interface	Yes	Web public interface;	Multi-user legacy application;	NaN	Web	Yes	3	NaN	8.0	0.0	0.0	NaN	NaN	NaN	2.0	2.0	4.0	1.0	1.0	0.0	NaN	NaN	NaN
8	12664	B	2014	Government	Government;	Business Application	Business Application;	Enhancement	NaN	4GL	Oracle	138.0	M1	682	682	4.9	4.9	0.0	345.0	NaN	0.4	NaN	NaN	NaN	Agile Development;	NaN	3	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	61435.0	European, euro	No
9	13026	B	2013	Banking	Government;Education Institution;Wholesale & Retail Trade;Transport & Storage;Communications;Medical and Health Care;Banking;	Business Application	Surveillance and security;	Enhancement	PC	3GL	C#	5.0	XXS	27	27	5.4	5.4	NaN	0.4	0.4	12.0	1	1.0	NaN	Agile Development;	NaN	6	Stand alone	NaN	NaN	NaN	NaN	NaN	Yes	2	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

	ISBSG Project ID	External (EEF) - Data Quality Rating	Project (PRF) - Year of Project	External (EEF) - Industry Sector	External (EEF) - Organisation Type	Project (PRF) - Application Group	Project (PRF) - Application Type	Project (PRF) - Development Type	Tech (TF) - Development Platform	Tech (TF) - Language Type	Tech (TF) - Primary Programming Language	Project (PRF) - Functional Size	Project (PRF) - Relative Size	Project (PRF) - Normalised Work Effort Level 1	Project (PRF) - Normalised Work Effort	Project (PRF) - Normalised Level 1 PDR (ufp)	Project (PRF) - Normalised PDR (ufp)	Project (PRF) - Defect Density	Project (PRF) - Speed of Delivery	Project (PRF) - Manpower Delivery Rate	Project (PRF) - Project Elapsed Time	Project (PRF) - Team Size Group	Project (PRF) - Max Team Size	- CASE Tool Used	Process (PMF) - Development Methodologies	Process (PMF) - Prototyping Used	Process (PMF) - Docs	Tech (TF) - Architecture	Tech (TF) - Client Server?	Tech (TF) - Client Roles	Tech (TF) - Server Roles	Tech (TF) - Type of Server	Tech (TF) - Web Development	Tech (TF) - DBMS Used	Tech (TF) - Tools Used	People (PRF) - Project user involvement	People (PRF) - BA team experience <1 yr	People (PRF) - BA team experience 1 to 3 yr	People (PRF) - BA team experience >3 yr	People (PRF) - IT experience <1 yr	People (PRF) - IT experience 1 to 3 yr	People (PRF) - IT experience >3 yr	People (PRF) - IT experience <3 yr	People (PRF) - IT experience 3 to 9 yr	People (PRF) - IT experience >9 yr	People (PRF) - Project manage experience	People (PRF) - Project manage changes	People (PRF) - Personnel changes	Project (PRF) - Total project cost	Project (PRF) - Cost currency	Project (PRF) - Currency multiple
74	30029	B	2012	Banking	Government;Education Institution;Wholesale & Retail Trade;Transport & Storage;Communications;Medical and Health Care;Banking;	Business Application	Surveillance and security;	Enhancement	PC	3GL	C#	72.0	S	225	225	3.1	3.1	NaN	6.0	3.0	12.0	2	2.0	NaN	Agile Development;	NaN	6	Stand alone	NaN	NaN	NaN	NaN	NaN	Yes	2	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
75	30367	A	2009	Service Industry	Government;Community Services;	Business Application	Catalogue/register of things or events;	Enhancement	Multi	3GL	PL/I	117.0	M1	3549	3549	30.3	30.3	0.0	16.7	1.7	7.0	9-14	10.0	No	Agile Development;	Yes	17	Client server	Yes	NaN	NaN	NaN	NaN	Yes	2	NaN	0.0	4.0	6.0	NaN	NaN	NaN	0.0	6.0	4.0	13.0	0.0	0.0	NaN	NaN	NaN
76	30466	B	2014	Government	Government;	Business Application	Business Application;	Enhancement	NaN	4GL	.Net	4.0	XXS	684	684	171.0	171.0	0.0	5.7	NaN	0.7	NaN	NaN	NaN	Agile Development;	NaN	3	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	68200.0	European, euro	No
77	30621	B	2013	Banking	Government;Education Institution;Wholesale & Retail Trade;Transport & Storage;Communications;Medical and Health Care;Banking;	Business Application	Surveillance and security;	Enhancement	PC	3GL	C#	13.0	XS	47	47	3.6	3.6	NaN	1.1	1.1	12.0	1	1.0	NaN	Agile Development;	NaN	6	Stand alone	NaN	NaN	NaN	NaN	NaN	Yes	2	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
78	30658	A	2009	Education	Education Institution;Electricity, Gas, Water;IEEE;	Business Application	Content management system;Dynamic website;	New Development	PC	3GL	Java	160.0	M1	784	784	4.9	4.9	NaN	53.3	10.7	3.0	5-8	5.0	NaN	Agile Development;Personal Software Process (PSP);Unified Process;	NaN	18	Multi-tier with web public interface	Yes	Web/HTML browser;	Security/authentication;	NaN	Web	Yes	4	NaN	NaN	NaN	NaN	NaN	NaN	NaN	5.0	NaN	NaN	NaN	0.0	0.0	15680.0	Canada, dollar	NaN
79	31103	B	2012	Banking	Government;Education Institution;Wholesale & Retail Trade;Transport & Storage;Communications;Medical and Health Care;Banking;	Business Application	Surveillance and security;	Enhancement	PC	3GL	C#	11.0	XS	43	43	3.9	3.9	NaN	0.9	0.9	12.0	1	1.0	NaN	Agile Development;	NaN	6	Stand alone	NaN	NaN	NaN	NaN	NaN	Yes	2	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
80	31166	A	2011	Government	Government;	Infrastructure Software	Data or database management;	New Development	PC	4GL	Oracle	492.0	M2	1020	1105	2.1	2.2	NaN	164.0	82.0	3.0	2	2.0	Yes	Agile Development;	NaN	17	Multi-tier with web public interface	Yes	Web/HTML browser;	Database server;HTML/web server;	NaN	Web	Yes	1	NaN	NaN	NaN	2.0	NaN	NaN	NaN	NaN	NaN	2.0	45.0	0.0	1.0	765000.0	European, euro	Yes 10,000
81	31166	A	2011	Government	Government;	Infrastructure Software	Data or database management;	New Development	PC	4GL	Oracle	422.0	M2	1020	1105	2.4	2.6	NaN	140.7	70.3	3.0	2	2.0	Yes	Agile Development;	NaN	18	Multi-tier with web public interface	Yes	Web/HTML browser;	Database server;HTML/web server;	NaN	Web	Yes	1	NaN	NaN	NaN	2.0	NaN	NaN	NaN	NaN	NaN	2.0	45.0	0.0	1.0	765000.0	European, euro	Yes 10,000
82	31969	B	2013	Banking	Government;Education Institution;Wholesale & Retail Trade;Transport & Storage;Communications;Medical and Health Care;Banking;	Business Application	Surveillance and security;	Enhancement	PC	3GL	C#	15.0	XS	47	47	3.1	3.1	NaN	1.3	1.3	12.0	1	1.0	NaN	Agile Development;	NaN	6	Stand alone	NaN	NaN	NaN	NaN	NaN	Yes	2	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
83	32010	D	2013	Manufacturing	Government;Real Estate & Property;Education Institution;Manufacturing;Construction;Wholesale & Retail Trade;Transport & Storage;Communications;Medical and Health Care;Community Services;Defence;Financial, Property & Business Services;Banking;Professional	Business Application	Catalogue/register of things or events;Customer billing;Financial transaction process/accounting;Job, case, incident, project management;Management or performance reporting;Online analysis and reporting;Workflow support & management;Mathematical modelling	New Development	PC	3GL	C#	5393.0	XL	400	460	0.1	0.1	1.9	2157.2	2157.2	2.5	1	1.0	Yes	Agile Development;Extreme Programming (XP);Iterative;Rapid Application Development (RAD);Scrum;Timeboxing;Unified Process;IMES OOM;	Yes	20	Stand alone	No	NaN	NaN	NaN	Web	Yes	7	NaN	0.0	0.0	1.0	NaN	NaN	NaN	0.0	0.0	1.0	3.0	0.0	0.0	277000.0	United States, dollar	No

Overview

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